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1. Comparison of different segmentation approaches without using gold standard. Application to the estimation of the left ventricle ejection fraction from cardiac cine MRI sequences.

Author: Laboratoire d'Imagerie Fonctionnelle (LIF) ; INSERM - IFR14 - IFR49 - Université Pierre et Marie Curie (UPMC) - Paris VI, Imagerie et Modélisation en Neurobiologie et Cancérologie (IMNC) ; CNRS - IN2P3 - Université Paris VII - Paris Diderot - Université Paris XI - Paris Sud, IMPACT ; Laboratoire Traitement du Signal et de l'Image (LTSI) ; INSERM - Université de Rennes 1 - INSERM - Université de Rennes 1 - CIC-IT Rennes ; INSERM - Hôpital Pontchaillou - INSERM - Hôpital Pontchaillou - Laboratoire Traitement du Signal et de l'Image (LTSI) ; INSERM - Université de Rennes 1 - INSERM, Centre de recherche en applications et traitement de l'image pour la santé (CREATIS) ; CNRS - INSERM - Hospices Civils de Lyon - Université Claude Bernard - Lyon I (UCBL) - Institut National des Sciences Appliquées [INSA], Laboratoire d'Informatique Gaspard-Monge (LIGM) ; CNRS - Université Paris-Est Marne-la-Vallée (UPEMLV) - École des Ponts ParisTech (ENPC) - Fédération de Recherche Bézout - ESIEE, Laboratoire Electronique, Informatique et Image (Le2i) ; CNRS - Arts et Métiers ParisTech - Université de Bourgogne, Image ; Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen (GREYC) ; CNRS - Université de Caen Basse-Normandie - Ecole Nationale Supérieure d'Ingénieurs de Caen - CNRS - Université de Caen Basse-Normandie - Ecole Nationale Supérieure d'Ingénieurs de Caen, Laboratoire des sciences et matériaux pour l'électronique et d'automatique (LASMEA) ; CNRS - Université Blaise Pascal - Clermont-Ferrand II, PRIAM ; ESME-Sudria, Image Science for Interventional Techniques (ISIT) ; CNRS - Université d'Auvergne - Clermont-Ferrand I - Clermont Université, The authors gratefully acknowledge the GdR2647 Stic-Santé for its support to the MedIEvalaction., Lebenberg, Jessica, Buvat, Irène, Garreau, Mireille, Casta, Christopher, Constantinidès, Constantin, Cousty, Jean, Cochet, Alexandre, Jehan-Besson, Stéphanie, Tilmant, Christophe, Lefort, Muriel, Roullot, Elodie, Najman, Laurent, Sarry, Laurent, Clarysse, Patrick, De Cesare, Alain, Lalande, Alain, Frouin, Frédérique, Laboratoire d'Imagerie Fonctionnelle (LIF) ; INSERM - IFR14 - IFR49 - Université Pierre et Marie Curie (UPMC) - Paris VI, Imagerie et Modélisation en Neurobiologie et Cancérologie (IMNC) ; CNRS - IN2P3 - Université Paris VII - Paris Diderot - Université Paris XI - Paris Sud, IMPACT ; Laboratoire Traitement du Signal et de l'Image (LTSI) ; INSERM - Université de Rennes 1 - INSERM - Université de Rennes 1 - CIC-IT Rennes ; INSERM - Hôpital Pontchaillou - INSERM - Hôpital Pontchaillou - Laboratoire Traitement du Signal et de l'Image (LTSI) ; INSERM - Université de Rennes 1 - INSERM, Centre de recherche en applications et traitement de l'image pour la santé (CREATIS) ; CNRS - INSERM - Hospices Civils de Lyon - Université Claude Bernard - Lyon I (UCBL) - Institut National des Sciences Appliquées [INSA], Laboratoire d'Informatique Gaspard-Monge (LIGM) ; CNRS - Université Paris-Est Marne-la-Vallée (UPEMLV) - École des Ponts ParisTech (ENPC) - Fédération de Recherche Bézout - ESIEE, Laboratoire Electronique, Informatique et Image (Le2i) ; CNRS - Arts et Métiers ParisTech - Université de Bourgogne, Image ; Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen (GREYC) ; CNRS - Université de Caen Basse-Normandie - Ecole Nationale Supérieure d'Ingénieurs de Caen - CNRS - Université de Caen Basse-Normandie - Ecole Nationale Supérieure d'Ingénieurs de Caen, Laboratoire des sciences et matériaux pour l'électronique et d'automatique (LASMEA) ; CNRS - Université Blaise Pascal - Clermont-Ferrand II, PRIAM ; ESME-Sudria, Image Science for Interventional Techniques (ISIT) ; CNRS - Université d'Auvergne - Clermont-Ferrand I - Clermont Université, The authors gratefully acknowledge the GdR2647 Stic-Santé for its support to the MedIEvalaction., Lebenberg, Jessica, Buvat, Irène, Garreau, Mireille, Casta, Christopher, Constantinidès, Constantin, Cousty, Jean, Cochet, Alexandre, Jehan-Besson, Stéphanie, Tilmant, Christophe, Lefort, Muriel, Roullot, Elodie, Najman, Laurent, Sarry, Laurent, Clarysse, Patrick, De Cesare, Alain, Lalande, Alain, and Frouin, Frédérique
Abstract: International audience, A statistical method is proposed to compare several estimates of a relevant clinical parameter when no gold standard is available. The method is illustrated by considering the left ventricle ejection fraction derived from cardiac magnetic resonance images and computed using seven approaches with different degrees of automation. The proposed method did not use any a priori regarding with the reliability of each method and its degree of automation. The results showed that the most accurate estimates of the ejection fraction were obtained using manual segmentations, followed by the semiautomatic methods, while the methods with the least user input yielded the least accurate ejection fraction estimates. These results were consistent with the expected performance of the estimation methods, suggesting that the proposed statistical approach might be helpful to assess the performance of estimation methods on clinical data for which no gold standard is available.

2. A mutual reference shape based on information theory

Author: Stéphanie Jehan-Besson, Laurent Sarry, J. Lebenberg, Régis Clouard, Mireille Garreau, Christophe Tilmant, Laurent Najman, Muriel Lefort, Jean Cousty, Alexandre Cochet, Patrick Clarysse, Alain Lalande, Frédérique Frouin, A. De Cesare, Equipe Image - Laboratoire GREYC - UMR6072, Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen ( GREYC ), Université de Caen Normandie ( UNICAEN ), Normandie Université ( NU ) -Normandie Université ( NU ) -Ecole Nationale Supérieure d'Ingénieurs de Caen ( ENSICAEN ), Normandie Université ( NU ) -Centre National de la Recherche Scientifique ( CNRS ) -Université de Caen Normandie ( UNICAEN ), Normandie Université ( NU ) -Centre National de la Recherche Scientifique ( CNRS ), Institut Pascal ( IP ), Université Blaise Pascal - Clermont-Ferrand 2 ( UBP ) -Sigma CLERMONT ( Sigma CLERMONT ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire d'Imagerie Fonctionnelle ( LIF ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Laboratoire Electronique, Informatique et Image ( Le2i ), Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS ), Laboratoire d'Informatique Gaspard-Monge ( LIGM ), Université Paris-Est Marne-la-Vallée ( UPEM ) -École des Ponts ParisTech ( ENPC ) -ESIEE Paris-Fédération de Recherche Bézout-Centre National de la Recherche Scientifique ( CNRS ), 1 - Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales ( MOTIVATE ), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ), Image Science for Interventional Techniques ( ISIT ), Université d'Auvergne - Clermont-Ferrand I ( UdA ) -Clermont Université-Centre National de la Recherche Scientifique ( CNRS ), Laboratoire Traitement du Signal et de l'Image ( LTSI ), Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), Groupe de Recherche en Informatique, Image et Instrumentation de Caen (GREYC), Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU)-Normandie Université (NU)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU), Institut Pascal (IP), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-SIGMA Clermont (SIGMA Clermont)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Laboratoire d'Informatique Gaspard-Monge (LIGM), Centre National de la Recherche Scientifique (CNRS)-Fédération de Recherche Bézout-ESIEE Paris-École des Ponts ParisTech (ENPC)-Université Paris-Est Marne-la-Vallée (UPEM), Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales (MOTIVATE), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Image Science for Interventional Techniques (ISIT), Université d'Auvergne - Clermont-Ferrand I (UdA)-Clermont Université-Centre National de la Recherche Scientifique (CNRS), Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS), Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), Université Paris-Est Marne-la-Vallée (UPEM)-École des Ponts ParisTech (ENPC)-ESIEE Paris-Fédération de Recherche Bézout-Centre National de la Recherche Scientifique (CNRS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Lalande, Alain, Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)
Subjects: average shape, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Scale-space segmentation, Information theory, Joint entropy, Active shape model, segmentation evalua-tion, [ INFO.INFO-TI ] Computer Science [cs]/Image Processing, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, cardiac MRI, Mathematics, ComputingMethodologies_COMPUTERGRAPHICS, Active contour model, [ INFO.INFO-IM ] Computer Science [cs]/Medical Imaging, business.industry, Active contours, Pattern recognition, Mutual information, [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], Point distribution model, shape gradient, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], Artificial intelligence, business, Shape analysis (digital geometry)
Abstract: International audience; In this paper, we propose to consider the estimation of a refer-ence shape from a set of different segmentation results using both active contours and information theory. The reference shape is defined as the minimum of a criterion that benefits from both the mutual information and the joint entropy of the input segmentations and called a mutual shape. This energy criterion is here justified using similarities between informa-tion theory quantities and area measures, and presented in a continuous variational framework. This framework brings out some interesting evaluation measures such as the speci-ficity and sensitivity. In order to solve this shape optimization problem, shape derivatives are computed for each term of the criterion and interpreted as an evolution equation of an active contour. Some synthetical examples allow us to cast the light on the difference between our mutual shape and an average shape. Our framework has been considered for the estimation of a mutual shape for the evaluation of cardiac segmentation methods in MRI.
Published: 2014

3. Improved estimation of the left ventricular ejection fraction using a combination of independent automated segmentation results in cardiovascular magnetic resonance imaging

Author: jessica lebenberg, Alain Lalande, Patrick Clarysse, Irène Buvat, Christopher Casta, Alexandre Cochet, Constantin Constantinides, Jean Cousty, Alain de Cesare, Stéphanie Jehan-Besson, Muriel Lefort, Laurent Najman, Elodie Roullot, Laurent Sarry, Christophe Tilmant, Frédérique Frouin, Mireille Garreau, Lebenberg, Jessica, Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales (MOTIVATE), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Service Hospitalier Frédéric Joliot (SHFJ), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, ESME Sudria, Pôle de Recherche en Ingénierie Appliquée à la Médecine (PRIAM), ESME Sudria [Paris]-ESME Sudria [Paris], Laboratoire d'Informatique Gaspard-Monge (LIGM), Centre National de la Recherche Scientifique (CNRS)-Fédération de Recherche Bézout-ESIEE Paris-École des Ponts ParisTech (ENPC)-Université Paris-Est Marne-la-Vallée (UPEM), Image Science for Interventional Techniques (ISIT), Université d'Auvergne - Clermont-Ferrand I (UdA)-Clermont Université-Centre National de la Recherche Scientifique (CNRS), Institut Pascal (IP), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-SIGMA Clermont (SIGMA Clermont)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Université Paris-Est Marne-la-Vallée (UPEM)-École des Ponts ParisTech (ENPC)-ESIEE Paris-Fédération de Recherche Bézout-Centre National de la Recherche Scientifique (CNRS), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire d'Imagerie Fonctionnelle ( LIF ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Laboratoire Electronique, Informatique et Image ( Le2i ), Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS ), 1 - Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales ( MOTIVATE ), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ), Service Hospitalier Frédéric Joliot ( SHFJ ), Direction de Recherche Fondamentale (CEA) ( DRF (CEA) ), Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Paris-Saclay, Pôle de Recherche en Ingénierie Appliquée à la Médecine ( PRIAM ), Laboratoire d'Informatique Gaspard-Monge ( LIGM ), Université Paris-Est Marne-la-Vallée ( UPEM ) -École des Ponts ParisTech ( ENPC ) -ESIEE Paris-Fédération de Recherche Bézout-Centre National de la Recherche Scientifique ( CNRS ), Image Science for Interventional Techniques ( ISIT ), Université d'Auvergne - Clermont-Ferrand I ( UdA ) -Clermont Université-Centre National de la Recherche Scientifique ( CNRS ), Institut Pascal ( IP ), Université Blaise Pascal - Clermont-Ferrand 2 ( UBP ) -Sigma CLERMONT ( Sigma CLERMONT ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire Traitement du Signal et de l'Image ( LTSI ), Université de Rennes 1 ( UR1 ), and Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Institut National de la Santé et de la Recherche Médicale ( INSERM )
Subjects: [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, [ SDV.MHEP.CSC ] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, [SDV.MHEP.CSC] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system
Abstract: —This work aimed at combining different segmenta-tion approaches to produce a robust and accurate segmentation result. Three to five segmentation results of the left ventricle were combined using the STAPLE algorithm and the reliability of the resulting segmentation was evaluated in comparison with the result of each individual segmentation method. This comparison was performed using a supervised approach based on a reference method. Then, we used an unsupervised statistical evaluation, the extended Regression Without Truth (eRWT) that ranks different methods according to their accuracy in estimating a specific biomarker in a population. The segmentation accuracy was evaluated by focusing on the left ventricular ejection fraction (LVEF) estimate resulting from the LV contour delineation using a public cardiac cine MRI database. Eight different segmentation methods, including three expert delineations, were studied, and sixteen combinations of the five automated methods were investigated. The supervised and unsupervised evaluations demonstrated that in most cases, STAPLE results provided better estimates of the LVEF than individual automated segmentation methods. In addition, LVEF obtained with STAPLE were within inter-expert variability. Overall, combining different automated segmentation methods improved the reliability of the segmenta-tion result compared to that obtained using an individual method
Published: 2014

4. Definition of a mutual reference shape based on information theory and active contours

Author: Stéphanie Jehan-Besson, Christophe Tilmant, Alain de Cesare, Alain Lalande, Alexandre Cochet, Jean Cousty, Jessica Lebenberg, Muriel Lefort, Patrick Clarysse, Régis Clouard, Laurent Najman, Laurent Sarry, Frédérique Frouin, Mireille Garreau, Equipe Image - Laboratoire GREYC - UMR6072, Groupe de Recherche en Informatique, Image et Instrumentation de Caen (GREYC), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS), Institut Pascal (IP), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-SIGMA Clermont (SIGMA Clermont)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Informatique Gaspard-Monge (LIGM), Université Paris-Est Marne-la-Vallée (UPEM)-École des Ponts ParisTech (ENPC)-ESIEE Paris-Fédération de Recherche Bézout-Centre National de la Recherche Scientifique (CNRS), Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales (MOTIVATE), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Image Science for Interventional Techniques (ISIT), Université d'Auvergne - Clermont-Ferrand I (UdA)-Clermont Université-Centre National de la Recherche Scientifique (CNRS), Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM), Action MediEval (Medical Image segmentation Evaluation) du GDR Stic Santé, Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen ( GREYC ), Université de Caen Normandie ( UNICAEN ), Normandie Université ( NU ) -Normandie Université ( NU ) -Ecole Nationale Supérieure d'Ingénieurs de Caen ( ENSICAEN ), Normandie Université ( NU ) -Centre National de la Recherche Scientifique ( CNRS ) -Université de Caen Normandie ( UNICAEN ), Normandie Université ( NU ) -Centre National de la Recherche Scientifique ( CNRS ), Institut Pascal ( IP ), Université Blaise Pascal - Clermont-Ferrand 2 ( UBP ) -Sigma CLERMONT ( Sigma CLERMONT ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire d'Imagerie Fonctionnelle ( LIF ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Laboratoire Electronique, Informatique et Image ( Le2i ), Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS ), Laboratoire d'Informatique Gaspard-Monge ( LIGM ), Université Paris-Est Marne-la-Vallée ( UPEM ) -École des Ponts ParisTech ( ENPC ) -ESIEE Paris-Fédération de Recherche Bézout-Centre National de la Recherche Scientifique ( CNRS ), 1 - Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales ( MOTIVATE ), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ), Image Science for Interventional Techniques ( ISIT ), Université d'Auvergne - Clermont-Ferrand I ( UdA ) -Clermont Université-Centre National de la Recherche Scientifique ( CNRS ), Laboratoire Traitement du Signal et de l'Image ( LTSI ), Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU)-Normandie Université (NU)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Arts et Métiers (ENSAM), HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Centre National de la Recherche Scientifique (CNRS)-Fédération de Recherche Bézout-ESIEE Paris-École des Ponts ParisTech (ENPC)-Université Paris-Est Marne-la-Vallée (UPEM), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Jehan-Besson, Stéphanie, and HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS)
Subjects: [ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing, segmentation evaluation, [ INFO.INFO-IM ] Computer Science [cs]/Medical Imaging, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, average shape, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, active contours, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], shape gradients, Image processing, cardiac MRI, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [ INFO.INFO-TI ] Computer Science [cs]/Image Processing, shape optimization, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, information theory
Abstract: In this paper, we propose to consider the estimation of a reference shape from a set of different segmentation results using both active contours and information theory. The reference shape is then defined as the minimum of a criterion that benefits from both the mutual information and the joint entropy of the input segmentations. This energy criterion is here justified using similarities between information theory quantities and area measures, and presented in a continuous variational framework. This framework brings out some interesting evaluation measures such as the specificity and sensitivity. In order to solve this shape optimization problem, shape derivatives are computed for each term of the criterion and interpreted as an evolution equation of an active contour. A mutual shape is then estimated together with the sensitivity and specificity. Some synthetical examples allow us to cast the light on the difference between our mutual shape and an average shape. The applicability and robustness of our framework has also been tested for the evaluation of different segmentation methods of the left ventricular cavity from cardiac MRI.
Published: 2013

5. Semi-quantitative assessment of pulmonary perfusion in children using dynamic contrast-enhanced MRI

Author: Phalla Ou, Catalin Fetita, William Thong, Département Advanced Research And Techniques For Multidimensional Imaging Systems (ARTEMIS), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Mathématiques Appliquées Paris 5 (MAP5 - UMR 8145), Université Paris Descartes - Paris 5 (UPD5)-Institut National des Sciences Mathématiques et de leurs Interactions (INSMI)-Centre National de la Recherche Scientifique (CNRS), École Polytechnique de Montréal (EPM), Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de radiologie pédiatrique [CHU Necker], CHU Necker - Enfants Malades [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-CHU Necker - Enfants Malades [AP-HP], Département Advanced Research And Techniques For Multidimensional Imaging Systems (TSP - ARTEMIS), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Necker - Enfants Malades [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Département Advanced Research And Techniques For Multidimensional Imaging Systems ( ARTEMIS ), Institut Mines-Télécom [Paris]-Télécom SudParis ( TSP ), Mathématiques Appliquées à Paris 5 ( MAP5 - UMR 8145 ), Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National des Sciences Mathématiques et de leurs Interactions-Centre National de la Recherche Scientifique ( CNRS ), École Polytechnique de Montréal ( EPM ), Laboratoire d'Imagerie Fonctionnelle ( LIF ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale ( INSERM ), and Assistance publique - Hôpitaux de Paris (AP-HP)-CHU Necker - Enfants Malades [AP-HP]
Subjects: [ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing, Computer science, Hemodynamics, Blood volume, [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, 02 engineering and technology, Scintigraphy, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, medicine.artery, 0202 electrical engineering, electronic engineering, information engineering, medicine, dynamic contrast-enhanced MRI, indicator-dilution theory, Lung, medicine.diagnostic_test, business.industry, Magnetic resonance imaging, Mean transit time, pulmonary perfusion, medicine.anatomical_structure, Pulmonary artery, Dynamic contrast-enhanced MRI, 020201 artificial intelligence & image processing, Deconvolution, Nuclear medicine, business, Perfusion, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract: 15 pages; International audience; This paper addresses the study of semi-quantitative assessment of pulmonary perfusion acquired from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in a study population mainly composed of children with pulmonary malformations. The automatic analysis approach proposed is based on the indicator-dilution theory introduced in 1954. First, a robust method is developed to segment the pulmonary artery and the lungs from anatomical MRI data, exploiting 2D and 3D mathematical morphology operators. Second, the time-dependent contrast signal of the lung regions is deconvolved by the arterial input function for the assessment of the local hemodynamic system parameters, ie. mean transit time, pulmonary blood volume and pulmonary blood flow. The discrete deconvolution method implements here a truncated singular value decomposition (tSVD) method. Parametric images for the entire lungs are generated as additional elements for diagnosis and quantitative follow-up. The preliminary results attest the feasibility of perfusion quantification in pulmonary DCE-MRI and open an interesting alternative to scintigraphy for this type of evaluation, to be considered at least as a preliminary decision in the diagnostic due to the large availability of the technique and to the non-invasive aspects.
Published: 2013

6. Age-related variations in left ventricular diastolic parameters assessed automatically from phase-contrast cardiovascular magnetic resonance data: comparison against doppler echocardiography

Author: Nadjia Kachenoura, Eric Bruguière, Golmehr Ashrafpoor, Emilie Bollache, Elie Mousseaux, Benoit Diebold, Arshid Azarine, Julien Dreyfus, Ludivine Perdrix, Alban Redheuil, Imagerie cardiovasculaire, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Européen Georges Pompidou [APHP] (HEGP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Université Paris Descartes - Paris 5 (UPD5), Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de cardiologie [CHU HEGP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO), BMC, Ed., Assistance publique - Hôpitaux de Paris (AP-HP)-Hôpital Européen Georges Pompidou [APHP] ( HEGP ) -Université Paris Descartes - Paris 5 ( UPD5 ), Laboratoire d'Imagerie Fonctionnelle ( LIF ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale ( INSERM ), and Assistance publique - Hôpitaux de Paris (AP-HP)-Hôpital Européen Georges Pompidou [APHP] ( HEGP )
Subjects: lcsh:Diseases of the circulatory (Cardiovascular) system, medicine.medical_specialty, Pathology, animal structures, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Phase contrast microscopy, Diastole, Doppler echocardiography, Asymptomatic, law.invention, [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, law, Age related, Internal medicine, medicine, Radiology, Nuclear Medicine and imaging, cardiovascular diseases, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, Angiology, Medicine(all), Ejection fraction, Radiological and Ultrasound Technology, medicine.diagnostic_test, business.industry, Magnetic resonance imaging, [ SDV.MHEP.CSC ] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, [SDV.MHEP.CSC] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, lcsh:RC666-701, Poster Presentation, Cardiology, cardiovascular system, medicine.symptom, Cardiology and Cardiovascular Medicine, business, circulatory and respiratory physiology
Abstract: International audience; Relationship with age and comparison of phase-contrast- CMR and Doppler-echocardiography derived left ventricular diastolic function parameters in asymptomatic individuals with preserved ejection fraction.
Published: 2012

7. Anatomical Regularization on Statistical Manifolds for the Classification of Patients with Alzheimer's Disease

Author: Cuingnet, R., Glaunès, Joan Alexis, Chupin, Marie, Benali, Habib, Colliot, Olivier, The Alzheimer'S Disease Neuroimaging Initiative,, Equipe NEMESIS - Centre de Recherches de l'Institut du Cerveau et de la Moelle épinière (NEMESIS-CRICM), Centre de Recherche de l'Institut du Cerveau et de la Moelle épinière (CRICM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Mathématiques Appliquées Paris 5 (MAP5 - UMR 8145), Université Paris Descartes - Paris 5 (UPD5)-Institut National des Sciences Mathématiques et de leurs Interactions (INSMI)-Centre National de la Recherche Scientifique (CNRS), Equipe NEMESIS - Centre de Recherches de l'Institut du Cerveau et de la Moelle épinière ( NEMESIS-CRICM ), Centre de Recherche de l'Institut du Cerveau et de la Moelle épinière ( CRICM ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire d'Imagerie Fonctionnelle ( LIF ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Mathématiques Appliquées à Paris 5 ( MAP5 - UMR 8145 ), Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National des Sciences Mathématiques et de leurs Interactions-Centre National de la Recherche Scientifique ( CNRS ), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC), and Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)
Subjects: business.industry, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Pattern recognition, Regularization (mathematics), 030218 nuclear medicine & medical imaging, Statistical manifold, Support vector machine, 03 medical and health sciences, ComputingMethodologies_PATTERNRECOGNITION, 0302 clinical medicine, [ SDV.NEU ] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [ INFO.INFO-TI ] Computer Science [cs]/Image Processing, Regularization operator, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Artificial intelligence, business, Classifier (UML), 030217 neurology & neurosurgery, ComputingMilieux_MISCELLANEOUS, Mathematics
Abstract: This paper introduces a continuous framework to spatially regularize support vector machines (SVM) for brain image analysis based on the Fisher metric. We show that, by considering the images as elements of a statistical manifold, one can define a metric that integrates various types of information. Based on this metric, replacing the standard SVM regularization with a Laplace-Beltrami regularization operator allows integrating to the classifier various types of constraints based on spatial and anatomical information. The proposed framework is applied to the classification of magnetic resonance (MR) images based on gray matter concentration maps from 137 patients with Alzheimer's disease and 162 elderly controls. The results demonstrate that the proposed classifier generates less-noisy and consequently more interpretable feature maps with no loss of classification performance.
Published: 2011

8. Comparison of different segmentation approaches without using gold standard. Application to the estimation of the left ventricle ejection fraction from cardiac cine MRI sequences

Author: Patrick Clarysse, Jessica Lebenberg, Christopher Casta, Alain Lalande, Frédérique Frouin, Alexandre Cochet, Stéphanie Jehan-Besson, Alain De Cesare, Laurent Najman, Constantin Constantinides, Jean Cousty, Christophe Tilmant, Muriel Lefort, Irène Buvat, Elodie Roullot, Mireille Garreau, Laurent Sarry, Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Imagerie et Modélisation en Neurobiologie et Cancérologie (IMNC (UMR_8165)), Université Paris-Sud - Paris 11 (UP11)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales (MOTIVATE), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Informatique Gaspard-Monge (LIGM), Université Paris-Est Marne-la-Vallée (UPEM)-École des Ponts ParisTech (ENPC)-ESIEE Paris-Fédération de Recherche Bézout-Centre National de la Recherche Scientifique (CNRS), Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), Equipe Image - Laboratoire GREYC - UMR6072, Groupe de Recherche en Informatique, Image et Instrumentation de Caen (GREYC), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS), Laboratoire des sciences et matériaux pour l'électronique et d'automatique (LASMEA), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Centre National de la Recherche Scientifique (CNRS), PRIAM, ESME-Sudria, Image Science for Interventional Techniques (ISIT), Université d'Auvergne - Clermont-Ferrand I (UdA)-Clermont Université-Centre National de la Recherche Scientifique (CNRS), The authors gratefully acknowledge the GdR2647 Stic-Santé for its support to the MedIEvalaction., Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre National de la Recherche Scientifique (CNRS)-Fédération de Recherche Bézout-ESIEE Paris-École des Ponts ParisTech (ENPC)-Université Paris-Est Marne-la-Vallée (UPEM), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Arts et Métiers (ENSAM), HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU)-Normandie Université (NU)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU), Laboratoire d'Imagerie Fonctionnelle ( LIF ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Imagerie et Modélisation en Neurobiologie et Cancérologie ( IMNC ), Centre National de la Recherche Scientifique ( CNRS ) -Université Paris Diderot - Paris 7 ( UPD7 ) -Institut National de Physique Nucléaire et de Physique des Particules du CNRS ( IN2P3 ) -Université Paris-Sud - Paris 11 ( UP11 ), Laboratoire Traitement du Signal et de l'Image ( LTSI ), Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), 1 - Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales ( MOTIVATE ), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ), Laboratoire d'Informatique Gaspard-Monge ( LIGM ), Université Paris-Est Marne-la-Vallée ( UPEM ) -École des Ponts ParisTech ( ENPC ) -ESIEE Paris-Fédération de Recherche Bézout-Centre National de la Recherche Scientifique ( CNRS ), Laboratoire Electronique, Informatique et Image ( Le2i ), Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS ), Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen ( GREYC ), Université de Caen Normandie ( UNICAEN ), Normandie Université ( NU ) -Normandie Université ( NU ) -Ecole Nationale Supérieure d'Ingénieurs de Caen ( ENSICAEN ), Normandie Université ( NU ) -Centre National de la Recherche Scientifique ( CNRS ) -Université de Caen Normandie ( UNICAEN ), Normandie Université ( NU ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire des sciences et matériaux pour l'électronique et d'automatique ( LASMEA ), Université Blaise Pascal - Clermont-Ferrand 2 ( UBP ) -Centre National de la Recherche Scientifique ( CNRS ), Image Science for Interventional Techniques ( ISIT ), Université d'Auvergne - Clermont-Ferrand I ( UdA ) -Clermont Université-Centre National de la Recherche Scientifique ( CNRS ), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Senhadji, Lotfi, Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)
Subjects: MESH : Ventricular Function, Left, [ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, 02 engineering and technology, MESH: Regression Analysis, Ventricular Function, Left, Article, MESH: Ventricular Function, Left, 030218 nuclear medicine & medical imaging, MESH: Magnetic Resonance Imaging, 03 medical and health sciences, MESH : Heart, 0302 clinical medicine, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, MESH : Magnetic Resonance Imaging, MESH : Regression Analysis, 0202 electrical engineering, electronic engineering, information engineering, Humans, Medicine, Segmentation, [ SDV.IB ] Life Sciences [q-bio]/Bioengineering, Reliability (statistics), [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, [SDV.IB] Life Sciences [q-bio]/Bioengineering, Ejection fraction, MESH: Humans, business.industry, MESH : Humans, Heart, Regression analysis, Pattern recognition, Image segmentation, Gold standard (test), Magnetic Resonance Imaging, MESH: Heart, medicine.anatomical_structure, Ventricle, Regression Analysis, A priori and a posteriori, 020201 artificial intelligence & image processing, [SDV.IB]Life Sciences [q-bio]/Bioengineering, Artificial intelligence, business, Nuclear medicine, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract: International audience; A statistical method is proposed to compare several estimates of a relevant clinical parameter when no gold standard is available. The method is illustrated by considering the left ventricle ejection fraction derived from cardiac magnetic resonance images and computed using seven approaches with different degrees of automation. The proposed method did not use any a priori regarding with the reliability of each method and its degree of automation. The results showed that the most accurate estimates of the ejection fraction were obtained using manual segmentations, followed by the semiautomatic methods, while the methods with the least user input yielded the least accurate ejection fraction estimates. These results were consistent with the expected performance of the estimation methods, suggesting that the proposed statistical approach might be helpful to assess the performance of estimation methods on clinical data for which no gold standard is available.
Published: 2011

9. Automated 3D measurements of the aortic length using the Hough transform

Author: Claire Pellot-Barakat, Muriel Lefort, Elie Mousseaux, Alain De Cesare, Alain Herment, Frédérique Frouin, Laboratoire d'Imagerie Fonctionnelle ( LIF ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Service de radiologie cardio-vasculaire [CHU HEGP], Assistance publique - Hôpitaux de Paris (AP-HP)-Hôpital Européen Georges Pompidou [APHP] ( HEGP ), Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Européen Georges Pompidou [APHP] (HEGP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO), and BMC, Ed.
Subjects: Aortic arch, medicine.medical_specialty, lcsh:Diseases of the circulatory (Cardiovascular) system, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, computer.software_genre, 030218 nuclear medicine & medical imaging, Hough transform, law.invention, 03 medical and health sciences, 0302 clinical medicine, Text mining, [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, law, medicine.artery, Medicine, Radiology, Nuclear Medicine and imaging, Computer vision, ComputingMilieux_MISCELLANEOUS, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, Angiology, Medicine(all), Aorta, Radiological and Ultrasound Technology, business.industry, [ SDV.MHEP.CSC ] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, Sagittal plane, [SDV.MHEP.CSC] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, medicine.anatomical_structure, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, Single view, lcsh:RC666-701, Poster Presentation, cardiovascular system, Data mining, Artificial intelligence, Cardiology and Cardiovascular Medicine, business, computer
Abstract: A 3D estimation of the length of the aortic arch using sagittal and axial acquisitions is proposed and compared with the conventional 2D method using a single view of the aorta.
Published: 2011

10. Age-related changes in tricuspid inflow: comparison between phase contrast MR imaging and Doppler echocardiography

Author: Muriel Lefort, Elie Mousseaux, Emilie Bollache, Ludivine Perdrix, Nadjia Kachenoura, Stephanie Clement-Guinaudeau, Alban Redheuil, Magalie Ladouceur, Service de radiologie cardio-vasculaire [CHU HEGP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Européen Georges Pompidou [APHP] (HEGP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO), Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de cardiologie [CHU HEGP], BMC, Ed., Assistance publique - Hôpitaux de Paris (AP-HP)-Hôpital Européen Georges Pompidou [APHP] ( HEGP ), Laboratoire d'Imagerie Fonctionnelle ( LIF ), and Université Pierre et Marie Curie - Paris 6 ( UPMC ) -IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale ( INSERM )
Subjects: medicine.medical_specialty, lcsh:Diseases of the circulatory (Cardiovascular) system, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Phase contrast microscopy, Diastole, Inflow, Doppler echocardiography, 030218 nuclear medicine & medical imaging, law.invention, 03 medical and health sciences, 0302 clinical medicine, [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, law, medicine, Radiology, Nuclear Medicine and imaging, cardiovascular diseases, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, ComputingMilieux_MISCELLANEOUS, Angiology, Medicine(all), Radiological and Ultrasound Technology, medicine.diagnostic_test, business.industry, Magnetic resonance imaging, Blood flow, Steady-state free precession imaging, [ SDV.MHEP.CSC ] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, 3. Good health, Surgery, [SDV.MHEP.CSC] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, lcsh:RC666-701, Poster Presentation, cardiovascular system, Cardiology and Cardiovascular Medicine, business, Nuclear medicine
Abstract: Objectives To compare phase contrast magnetic resonance (PCMR) evaluation of tricuspid inflow against echocardiographic measurements and to assess age-related changes in right ventricular (RV) diastolic function evaluated by both techniques. Background Several echocardiographic studies demonstrated the agerelated changes in RV diastolic function. An MRI study supported these findings using SSFP sequences but to our knowledge, there is no such evaluation using PCMR images. Although blood flow PCMR imaging is less operator-dependant than echocardiography, which is strongly conditioned by the transducer orientation, postprocessing of these data remains time-consuming and precludes clinical applications. Accordingly, the primary goal of this study was to develop a reproducible and accurate method to assess RV diastolic function. Methods We studied 55 healthy subjects (26 men, age: 42±17 years ranged between 13 and 79 years) who had Doppler echocardiography (GE Vivid7) and PCMR imaging (GE 1.5T) on the same day. The study protocol was approved by the institutional review board and informed consent was obtained from all participants. The previously acquired long axis views were used for positioning a retrospectively ECG-gated PC pulse sequences, in a plane perpendicular to the tricuspid inflow at the level of the tips of the opened tricuspid leaflets. PC images were analyzed using a custom software previously designed to semi-automatically assess transmitral flow. This analysis allowed extracting RV diastolic parameters such as: the peak filling rate (Ef, ml/s) and the peak atrial filling rate (Af, ml/s) and the Ef/Af ratio. These parameters were compared to the known echocardiographic parameters (early and late peak velocities (E, A, cm/s) and the E/A ratio). Inter-operators variability in PCMR measurements was calculated as the absolute difference of the repeated measurements in the percentage of their mean. Results Low inter-operators variability in PCMR measurements was found (2.50±2,99%). Comparison between PCMR early to late peak flow rate ratio (Ef/Af) and echocardiographic
Published: 2011

11. Evaluation of aortic valve stenosis from Phase-Contrast Magnetic Resonance data using a new automated segmentation and analysis method: Comparison against Doppler Echocardiography

Author: Ludivine Perdrix, Eric Bruguière, Alban Redheuil, Emilie Bollache, Elie Mousseaux, Carine Defrance, Nadjia Kachenoura, Benoit Diebold, Hôpital Européen Georges Pompidou [APHP] (HEGP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO), Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Hôpital Européen Georges Pompidou [APHP] ( HEGP ), Laboratoire d'Imagerie Fonctionnelle ( LIF ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale ( INSERM ), BMC, Ed., and Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)
Subjects: lcsh:Diseases of the circulatory (Cardiovascular) system, medicine.medical_specialty, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Phase contrast microscopy, Automated segmentation, Doppler echocardiography, 030218 nuclear medicine & medical imaging, law.invention, 03 medical and health sciences, 0302 clinical medicine, Valvular disease, [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, law, medicine, Radiology, Nuclear Medicine and imaging, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, Analysis method, ComputingMilieux_MISCELLANEOUS, Angiology, Medicine(all), Radiological and Ultrasound Technology, medicine.diagnostic_test, business.industry, Magnetic resonance imaging, [ SDV.MHEP.CSC ] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, medicine.disease, [SDV.MHEP.CSC] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, lcsh:RC666-701, Aortic valve stenosis, Oral Presentation, Radiology, Cardiology and Cardiovascular Medicine, business
Abstract: Background Aortic valve stenosis (AVS) is the most common valvular disease. Its evaluation is of growing interest because of its increasing incidence with the aging population. Previous studies demonstrated the usefulness of PhaseContrast Magnetic Resonance (PCMR) images in the evaluation of AVS. However, because of the lack of automated methods for PCMR data analysis, this technique remains time-consuming and operator-dependent.
Published: 2011

12. Multidetector row computed tomography to assess changes in airways linked to asthma control

Author: Marie-H. Becquemin, Gaëlle Nachbaur, Pierre-Y. Brillet, Thomas Similowski, Catalin Fetita, Marc Zelter, Valérie Attali, André Capderou, Catherine Beigelman-Aubry, Philippe Grenier, Réponses Cellulaires et Fonctionnelles à l'Hypoxie ( LRPH ), Université Paris 13 ( UP13 ) -Université Sorbonne Paris Cité ( USPC ) -UFR SMBH, GlaxoSmithKline ( GSK ), GSK, Remodelage tissulaire et fonctionnel : signalisation et physio-pathologie ( RTFSPP ), Université Paris-Sud - Paris 11 ( UP11 ) -Centre chirurgical Marie Lannelongue-Centre National de la Recherche Scientifique ( CNRS ), Service Explorations Fonctionnelles Respiratoires, Assistance publique - Hôpitaux de Paris (AP-HP), CHU Pitié-Salpêtrière [APHP], Département Advanced Research And Techniques For Multidimensional Imaging Systems ( ARTEMIS ), Institut Mines-Télécom [Paris]-Télécom SudParis ( TSP ), Mathématiques Appliquées à Paris 5 ( MAP5 - UMR 8145 ), Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National des Sciences Mathématiques et de leurs Interactions-Centre National de la Recherche Scientifique ( CNRS ), Service de Pneumologie – Réanimation Médicale, Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Assistance publique - Hôpitaux de Paris (AP-HP)-CHU Pitié-Salpêtrière [APHP], Laboratoire d'Imagerie Fonctionnelle ( LIF ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Service de Radiologie Polyvalente Diagnostique et Interventionnelle, Réponses Cellulaires et Fonctionnelles à l'Hypoxie (LRPH), Université Paris 13 (UP13)-Université Sorbonne Paris Cité (USPC)-UFR SMBH, GlaxoSmithKline (GSK), Remodelage tissulaire et fonctionnel : signalisation et physio-pathologie (RTFSPP), Université Paris-Sud - Paris 11 (UP11)-Centre Chirurgical Marie Lannelongue (CCML)-Centre National de la Recherche Scientifique (CNRS), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Département Advanced Research And Techniques For Multidimensional Imaging Systems (ARTEMIS), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Mathématiques Appliquées Paris 5 (MAP5 - UMR 8145), Université Paris Descartes - Paris 5 (UPD5)-Institut National des Sciences Mathématiques et de leurs Interactions (INSMI)-Centre National de la Recherche Scientifique (CNRS), Service de Pneumologie – Réanimation Médicale [CHU Pitié-Salpêtrière], Université Pierre et Marie Curie - Paris 6 (UPMC)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Pitié-Salpêtrière [AP-HP], Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de Radiologie Polyvalente Diagnostique et Interventionnelle [CHU Pitié-Salpêtrière], Université Paris-Sud - Paris 11 (UP11)-Centre chirurgical Marie Lannelongue-Centre National de la Recherche Scientifique (CNRS), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), and Département Advanced Research And Techniques For Multidimensional Imaging Systems (TSP - ARTEMIS)
Subjects: Male, MESH: Asthma, Computed tomography, Pilot Projects, [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, [SDV.MHEP.PSR]Life Sciences [q-bio]/Human health and pathology/Pulmonology and respiratory tract, 0302 clinical medicine, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Asthma control, MESH : Tomography, X-Ray Computed, MESH : Female, MESH : Albuterol, MESH: Bronchography, MESH : Bronchography, Bronchial wall, medicine.diagnostic_test, MESH : Pilot Projects, Respiratory disease, MESH: Bronchi, MESH: Administration, Inhalation, Bronchography, respiratory system, MESH : Adult, Fluticasone-Salmeterol Drug Combination, MESH : Bronchi, Drug Combinations, MESH : Drug Combinations, MESH: Young Adult, 030220 oncology & carcinogenesis, cardiovascular system, MESH : Imaging, Three-Dimensional, Female, Radiology, Tomography, MESH: Tomography, X-Ray Computed, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Pulmonary and Respiratory Medicine, Adult, medicine.medical_specialty, [ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing, MESH : Male, MESH : Young Adult, MESH : Androstadienes, Bronchi, macromolecular substances, MESH: Imaging, Three-Dimensional, MESH : Asthma, 03 medical and health sciences, Young Adult, Imaging, Three-Dimensional, Disease severity, Administration, Inhalation, MESH : Glucocorticoids, medicine, Humans, Albuterol, cardiovascular diseases, Glucocorticoids, Asthma, MESH: Drug Combinations, MESH: Humans, business.industry, MESH: Albuterol, MESH : Humans, MESH: Adult, medicine.disease, MESH: Pilot Projects, MESH : Administration, Inhalation, MESH: Male, respiratory tract diseases, Androstadienes, 030228 respiratory system, MESH: Androstadienes, business, Tomography, X-Ray Computed, MESH: Glucocorticoids, MESH: Female, [ SDV.MHEP.PSR ] Life Sciences [q-bio]/Human health and pathology/Pulmonology and respiratory tract
Abstract: Background: In asthma, multidetector row computed tomography (MDCT) detects abnormalities that are related to disease severity, including increased bronchial wall thickness. However, whether these abnormalities could be related to asthma control has not been investigated yet. Objective: Our goal was to determine which changes in airways could be linked to disease control. Methods: Twelve patients with poor asthma control were included and received a salmeterol/fluticasone propionate combination daily for 12 weeks. Patients underwent clinical, functional, and MDCT examinations before and after the treatment period. MDCT examinations were performed using a low-dose protocol at a controlled lung volume (65% TLC). Bronchial lumen (LA) and wall areas (WA) were evaluated at a segmental and subsegmental level using BronCare software. Lung density was measured at the base of the lung. Baseline and end-of-treatment data were compared using the Wilcoxon signed-rank test. Results: After the 12-week treatment period, asthma control was achieved. Airflow obstruction and air trapping decreased as assessed by the changes in FEV1 (p < 0.01) and expiratory reserve volume (p < 0.01). Conversely, LA and WA did not vary significantly. However, a median decrease in LA of >10% was observed in half of the patients with a wide intra- and intersubject response heterogeneity. This was concomitant with a decrease in lung density (p < 0.02 in the anteroinferior areas). Conclusions: MDCT is insensitive for demonstrating any decrease in bronchial wall thickness. This is mainly due to changes in bronchial caliber which may be linked to modifications of the elastic properties of the bronchopulmonary system under treatment.
Published: 2011

13. 3D vector flow guided segmentation of airway wall in MSCT

Author: Catalin Fetita, Francoise Preteux, Philippe Grenier, Margarete Ortner, Pierre-Yves Brillet, Département Advanced Research And Techniques For Multidimensional Imaging Systems (ARTEMIS), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Mathématiques Appliquées Paris 5 (MAP5 - UMR 8145), Université Paris Descartes - Paris 5 (UPD5)-Institut National des Sciences Mathématiques et de leurs Interactions (INSMI)-Centre National de la Recherche Scientifique (CNRS), Réponses Cellulaires et Fonctionnelles à l'Hypoxie (LRPH), Université Paris 13 (UP13)-Université Sorbonne Paris Cité (USPC)-UFR SMBH, École des Mines de Paris, Service de Radiologie Polyvalente Diagnostique et Interventionnelle [CHU Pitié-Salpêtrière], Université Pierre et Marie Curie - Paris 6 (UPMC)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-CHU Pitié-Salpêtrière [APHP], Département Advanced Research And Techniques For Multidimensional Imaging Systems ( ARTEMIS ), Institut Mines-Télécom [Paris]-Télécom SudParis ( TSP ), Mathématiques Appliquées à Paris 5 ( MAP5 - UMR 8145 ), Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National des Sciences Mathématiques et de leurs Interactions-Centre National de la Recherche Scientifique ( CNRS ), Réponses Cellulaires et Fonctionnelles à l'Hypoxie ( LRPH ), Université Paris 13 ( UP13 ) -Université Sorbonne Paris Cité ( USPC ) -UFR SMBH, Service de Radiologie Polyvalente Diagnostique et Interventionnelle, Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Assistance publique - Hôpitaux de Paris (AP-HP)-CHU Pitié-Salpêtrière [APHP], Laboratoire d'Imagerie Fonctionnelle ( LIF ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Département Advanced Research And Techniques For Multidimensional Imaging Systems (TSP - ARTEMIS), CHU Pitié-Salpêtrière [AP-HP], and Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)
Subjects: [ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing, Vector flow, business.industry, Computer science, Quantitative Biology::Tissues and Organs, Physics::Medical Physics, 020207 software engineering, [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, 02 engineering and technology, Adaptive stepsize, Lagrangian dynamics, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, Generalized gradient, 0302 clinical medicine, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Airway wall, 0202 electrical engineering, electronic engineering, information engineering, Computer vision, Segmentation, Artificial intelligence, Airway, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Euclidean vector
Abstract: International audience; This paper develops a 3D automated approach for airway wall segmentation and quantification in MSCT based on a patient-specific deformable model. The model is explicitly defined as a triangular surface mesh at the level of the airway lumen segmented from the MSCT data. The model evolves according to simplified Lagrangian dynamics, where the deformation force field is defined by a case-specific generalized gradient vector flow. Such force formulation allows locally adaptive time step integration and prevents model self-intersections. The evaluations performed on simulated and clinical MSCT data have shown a good agreement with the radiologist expertise and underlined a higher potential of the proposed 3D approach for the study of airway remodeling versus 2D cross-section techniques.
Published: 2010

14. Grid-wide neuroimaging data federation in the context of the NeuroLOG project

Author: Michel, Franck, Gaignard, Alban, Ahmad, Farooq, Barillot, Christian, Batrancourt, Bénédicte, Dojat, Michel, Gibaud, Bernard, Girard, Pascal, Godard, David, Kassel, Gilles, Lingrand, Diane, Malandain, Grégoire, Montagnat, Johan, Pélégrini-Issac, Mélanie, Pennec, Xavier, Rojas Balderrama, Javier, Wali, Bacem, Vision, Action et Gestion d'informations en Santé (VisAGeS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE (IRISA-D5), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe MODALIS, Scalable and Pervasive softwARe and Knowledge Systems (Laboratoire I3S - SPARKS), Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Centre de Recherche de l'Institut du Cerveau et de la Moelle épinière (CRICM), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC), Institut d'imagerie neurofonctionnelle (IIN), Institut National de la Santé et de la Recherche Médicale (INSERM)-Ecole Nationale Supérieure des Télécommunications (ENST)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École des hautes études en sciences sociales (EHESS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris-Sud - Paris 11 (UP11)-Centre National de la Recherche Scientifique (CNRS), Grenoble Institut des Neurosciences (GIN), Université Joseph Fourier - Grenoble 1 (UJF)-Institut National de la Santé et de la Recherche Médicale (INSERM), Analysis and Simulation of Biomedical Images (ASCLEPIOS), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Visioscopie, Modélisation, Information et Systèmes - UR UPJV 4290 (MIS), Université de Picardie Jules Verne (UPJV), Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Tony Solomonides, Ignacio Blanquer, Vincent Breton, Tristan Glatard, Yannick Legré, ANR-06-TLOG-0024,NeuroLOG,NeuroLOG: technologies logicielles pour l'intégration de traitements, de données et de connaissances en imagerie médicale(2006), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (1965 - 2019) (UNS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Université Paris-Sud - Paris 11 (UP11)-Université Pierre et Marie Curie - Paris 6 (UPMC)-École des hautes études en sciences sociales (EHESS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Ecole Nationale Supérieure des Télécommunications (ENST)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Vision, Action et Gestion d'informations en Santé ( VisAGeS ), Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique ( Inria ) -Institut National de Recherche en Informatique et en Automatique ( Inria ) -SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE ( IRISA-D5 ), Institut de Recherche en Informatique et Systèmes Aléatoires ( IRISA ), Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Université de Bretagne Sud ( UBS ) -École normale supérieure - Rennes ( ENS Rennes ) -Institut National de Recherche en Informatique et en Automatique ( Inria ) -Institut National des Sciences Appliquées ( INSA ) -Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique ( CNRS ) -Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Université de Bretagne Sud ( UBS ) -École normale supérieure - Rennes ( ENS Rennes ) -Institut National de Recherche en Informatique et en Automatique ( Inria ) -Institut National des Sciences Appliquées ( INSA ) -Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique ( CNRS ) -Institut de Recherche en Informatique et Systèmes Aléatoires ( IRISA ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Université de Bretagne Sud ( UBS ) -École normale supérieure - Rennes ( ENS Rennes ) -Institut National des Sciences Appliquées ( INSA ) -Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique ( CNRS ), Scalable and Pervasive softwARe and Knowledge Systems ( SPARKS ), Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis ( I3S ), Université Nice Sophia Antipolis ( UNS ), Université Côte d'Azur ( UCA ) -Université Côte d'Azur ( UCA ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Nice Sophia Antipolis ( UNS ), Université Côte d'Azur ( UCA ) -Université Côte d'Azur ( UCA ) -Centre National de la Recherche Scientifique ( CNRS ) -Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis ( I3S ), Université Côte d'Azur ( UCA ) -Université Côte d'Azur ( UCA ) -Centre National de la Recherche Scientifique ( CNRS ), Centre de Recherche de l'Institut du Cerveau et de la Moelle épinière ( CRICM ), Centre National de la Recherche Scientifique ( CNRS ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Université Pierre et Marie Curie - Paris 6 ( UPMC ), Institut d'imagerie neurofonctionnelle ( IIN ), Université Paris-Sud - Paris 11 ( UP11 ) -Université Pierre et Marie Curie - Paris 6 ( UPMC ) -École des hautes études en sciences sociales ( EHESS ) -Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Assistance publique - Hôpitaux de Paris (AP-HP)-ENST-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Grenoble Institut des Neurosciences ( GIN ), Université Joseph Fourier - Grenoble 1 ( UJF ) -CHU Grenoble-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Analysis and Simulation of Biomedical Images ( ASCLEPIOS ), Inria Sophia Antipolis - Méditerranée ( CRISAM ), Institut National de Recherche en Informatique et en Automatique ( Inria ) -Institut National de Recherche en Informatique et en Automatique ( Inria ), Modélisation, Information & Systèmes ( MIS ), Université de Picardie Jules Verne ( UPJV ), Laboratoire d'Imagerie Fonctionnelle ( LIF ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale ( INSERM ), ANR-06-TLOG-0024,NeuroLOG,NeuroLOG: technologies logicielles pour l'intégration de traitements, de données et de connaissances en imagerie médicale ( 2006 ), CentraleSupélec-Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Télécom Bretagne-Institut National des Sciences Appliquées ( INSA ) -Institut National de Recherche en Informatique et en Automatique ( Inria ) -École normale supérieure - Rennes ( ENS Rennes ) -Centre National de la Recherche Scientifique ( CNRS ) -Université de Bretagne Sud ( UBS ) -CentraleSupélec-Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Télécom Bretagne-Institut National des Sciences Appliquées ( INSA ) -Institut National de Recherche en Informatique et en Automatique ( Inria ) -École normale supérieure - Rennes ( ENS Rennes ) -Centre National de la Recherche Scientifique ( CNRS ) -Université de Bretagne Sud ( UBS ) -Institut de Recherche en Informatique et Systèmes Aléatoires ( IRISA ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Télécom Bretagne-Institut National des Sciences Appliquées ( INSA ) -École normale supérieure - Rennes ( ENS Rennes ) -Centre National de la Recherche Scientifique ( CNRS ) -Université de Bretagne Sud ( UBS ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Grosset, Aline, and Programme Technologies Logicielles - NeuroLOG: technologies logicielles pour l'intégration de traitements, de données et de connaissances en imagerie médicale - - NeuroLOG2006 - ANR-06-TLOG-0024 - TLOG - VALID
Subjects: [SDV.IB] Life Sciences [q-bio]/Bioengineering, ComputingMilieux_GENERAL, Computer Communication Networks, User-Computer Interface, Software Design, Image Processing, Computer-Assisted, Neurosciences, [SDV.IB]Life Sciences [q-bio]/Bioengineering, Medical Informatics Applications, [ SDV.IB ] Life Sciences [q-bio]/Bioengineering, Article
Abstract: International audience; Grid technologies are appealing to deal with the challenges raised by computational neurosciences and support multi-centric brain studies. However, core grids middleware hardly cope with the complex neuroimaging data representation and multi-layer data federation needs. Moreover, legacy neuroscience environments need to be preserved and cannot be simply superseded by grid services. This paper describes the NeuroLOG platform design and implementation, shedding light on its Data Management Layer. It addresses the integration of brain image files, associated relational metadata and neuroscience semantic data in a heterogeneous distributed environment, integrating legacy data managers through a mediation layer.
Published: 2010

15. Ground truth and CT image model simulation for pathophysiological human airway system

Author: Pierre-Yves Brillet, Catalin Fetita, Margarete Ortner, Philippe Grenier, Francoise Preteux, Département Advanced Research And Techniques For Multidimensional Imaging Systems (ARTEMIS), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Mathématiques Appliquées Paris 5 (MAP5 - UMR 8145), Université Paris Descartes - Paris 5 (UPD5)-Institut National des Sciences Mathématiques et de leurs Interactions (INSMI)-Centre National de la Recherche Scientifique (CNRS), École des Mines de Paris, Réponses Cellulaires et Fonctionnelles à l'Hypoxie (LRPH), Université Paris 13 (UP13)-Université Sorbonne Paris Cité (USPC)-UFR SMBH, Service de Radiologie Polyvalente Diagnostique et Interventionnelle [CHU Pitié-Salpêtrière], Université Pierre et Marie Curie - Paris 6 (UPMC)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-CHU Pitié-Salpêtrière [APHP], Département Advanced Research And Techniques For Multidimensional Imaging Systems ( ARTEMIS ), Institut Mines-Télécom [Paris]-Télécom SudParis ( TSP ), Mathématiques Appliquées à Paris 5 ( MAP5 - UMR 8145 ), Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National des Sciences Mathématiques et de leurs Interactions-Centre National de la Recherche Scientifique ( CNRS ), Réponses Cellulaires et Fonctionnelles à l'Hypoxie ( LRPH ), Université Paris 13 ( UP13 ) -Université Sorbonne Paris Cité ( USPC ) -UFR SMBH, Service de Radiologie Polyvalente Diagnostique et Interventionnelle, Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Assistance publique - Hôpitaux de Paris (AP-HP)-CHU Pitié-Salpêtrière [APHP], Laboratoire d'Imagerie Fonctionnelle ( LIF ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Département Advanced Research And Techniques For Multidimensional Imaging Systems (TSP - ARTEMIS), CHU Pitié-Salpêtrière [AP-HP], and Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)
Subjects: Ground truth, [ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing, Computer science, business.industry, [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, 02 engineering and technology, Image segmentation, 021001 nanoscience & nanotechnology, 01 natural sciences, 3. Good health, 010309 optics, Tree (data structure), [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Medial axis, Mesh generation, Computer-aided diagnosis, 0103 physical sciences, Computer vision, Segmentation, Sensitivity (control systems), Artificial intelligence, 0210 nano-technology, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract: International audience; Recurrent problem in medical image segmentation and analysis, establishing a ground truth for assessment purposes is often difficult. Facing this problem, the scientific community orients its efforts towards the development of objective methods for evaluation, namely by building up or simulating the missing ground truth for analysis. This paper focuses on the case of human pulmonary airways and develops a method 1) to simulate the ground truth for different pathophysiological configurations of the bronchial tree as a mesh model, and 2) to generate synthetic 3D CT images of airways associated with the simulated ground truth. The airway model is here built up based on the information provided by a medial axis (describing bronchus shape, subdivision geometry and local radii), which is computed from real CT data to ensure realism and matching with a patient-specific morphology. The model parameters can be further on adjusted to simulate various pathophysiological conditions of the same patient (longitudinal studies). Based on the airway mesh model, a 3D image model is synthesized by simulating the CT acquisition process. The image realism is achieved by including textural features of the surrounding pulmonary tissue which are obtained by segmentation from the same original CT data providing the airway axis. By varying the scanning simulation parameters, several 3D image models can be generated for the same airway mesh ground truth. Simulation results for physiological and pathological configurations are presented and discussed, illustrating the interest of such a modeling process for designing computer-aided diagnosis systems or for assessing their sensitivity, mainly for follow-up studies in asthma and COPD.
Published: 2010

16. A morphological-aggregative approach for 3D segmentation of pulmonary airways from generic MSCT acquisitions

Author: Fetita , Catalin, Ortner , Margarete, Brillet , Pierre-Yves, Prêteux , Françoise, Grenier , Philippe, Département Advanced Research And Techniques For Multidimensional Imaging Systems (TSP - ARTEMIS), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Mathématiques Appliquées Paris 5 (MAP5 - UMR 8145), Université Paris Descartes - Paris 5 (UPD5)-Institut National des Sciences Mathématiques et de leurs Interactions (INSMI)-Centre National de la Recherche Scientifique (CNRS), Réponses Cellulaires et Fonctionnelles à l'Hypoxie (LRPH), Université Paris 13 (UP13)-Université Sorbonne Paris Cité (USPC)-UFR SMBH, CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Département Advanced Research And Techniques For Multidimensional Imaging Systems (ARTEMIS), Service de Radiologie Polyvalente Diagnostique et Interventionnelle [CHU Pitié-Salpêtrière], Université Pierre et Marie Curie - Paris 6 (UPMC)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Université Pierre et Marie Curie - Paris 6 (UPMC)-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-CHU Pitié-Salpêtrière [APHP], Département Advanced Research And Techniques For Multidimensional Imaging Systems ( ARTEMIS ), Institut Mines-Télécom [Paris]-Télécom SudParis ( TSP ), Mathématiques Appliquées à Paris 5 ( MAP5 - UMR 8145 ), Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National des Sciences Mathématiques et de leurs Interactions-Centre National de la Recherche Scientifique ( CNRS ), Réponses Cellulaires et Fonctionnelles à l'Hypoxie ( LRPH ), Université Paris 13 ( UP13 ) -Université Sorbonne Paris Cité ( USPC ) -UFR SMBH, Service de Radiologie Polyvalente Diagnostique et Interventionnelle, Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Assistance publique - Hôpitaux de Paris (AP-HP)-CHU Pitié-Salpêtrière [APHP], Laboratoire d'Imagerie Fonctionnelle ( LIF ), and Université Pierre et Marie Curie - Paris 6 ( UPMC ) -IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale ( INSERM )
Subjects: [ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract: International audience; Three-dimensional segmentation of airways from multi-slice computed tomography (MSCT) is a key point in the development of computer-aided tools for respiratory investigation. The expected benefits are related to diagnosis improvement of airway pathologies, preoperative planning and follow-up. The segmentation issue becomes even more challenging with regard to the high variability of the MSCT image acquisition in clinical practice due to the different CT scanners used and the various protocols (mainly at low dose). This paper develops a generic and automated 3D airway segmentation approach able to deal with a large spectrum of MSCT protocols by exploiting a combined morphologicalaggregative methodology. The proposed method was independently assessed by an external group of medical experts in the context of a segmentation challenge, on a database consisting of 20 thorax MSCT datasets. This database included acquisitions from several clinical centers equipped with different CT scanners and using various protocols. The evaluation results show a good performance of the developed approach in terms of airway segments detection accuracy, in the context of highly variable MSCT input data.
Published: 2009

17. Inter- and intrapatients comparison of WHO grade II glioma kinetics before and after surgical resection

Author: Luc Bauchet, Luc Taillandier, Philippe Peruzzi, Johan Pallud, Jacques Guyotat, Denys Fontaine, Marie-Hélène Baron, Emmanuel Mandonnet, Valérie Bernier, Laurent Capelle, Hugues Duffau, Réseau d'Etude des Gliomes, REG, Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de Neurochirurgie [CHU Pitié-Salpêtrière], CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Service de Neurochirurgie, Centre Hospitalier Universitaire de Nice (CHU Nice), Service de Neuro-Oncologie [CHRU Nancy], Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), Service de neuro-radiologie, CHU Grenoble, Université de Reims Champagne-Ardenne (URCA), Service de neurochirurgie, Hospices Civils de Lyon (HCL), Centre Alexis Vautrin (CAV), Service de radiothérapie, Centre Hospitalier Régional Universitaire de Besançon (CHRU Besançon), Carcinogénèse épithéliale : facteurs prédictifs et pronostiques - UFC (EA 3181) (CEF2P / CARCINO), Centre Hospitalier Régional Universitaire de Besançon (CHRU Besançon)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Laboratoire d'Imagerie Fonctionnelle ( LIF ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Assistance publique - Hôpitaux de Paris (AP-HP)-CHU Pitié-Salpêtrière [APHP], CHU Nice, Centre Hospitalier Régional Universitaire de Nancy ( CHRU Nancy ), Université de Reims Champagne-Ardenne ( URCA ), Hospices Civils de Lyon ( HCL ), Centre Alexis Vautrin ( CAV ), Centre Hospitalier Régional Universitaire [Besançon] ( CHRU Besançon ) -Hôpital Jean Minjoz, Carcinogénèse épithéliale : facteurs prédictifs et pronostiques - UFC ( CEF2P / CARCINO ), Centre Hospitalier Régional Universitaire [Besançon] ( CHRU Besançon ) -Université Bourgogne Franche-Comté ( UBFC ) -Université de Franche-Comté ( UFC ), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), and Carcinogénèse épithéliale : facteurs prédictifs et pronostiques - UFC (UR 3181) (CEF2P / CARCINO)
Subjects: Male, MESH : Oligodendroglioma, MESH : Retrospective Studies, Databases, Factual, MESH: Antineoplastic Agents, Alkylating, Neurosurgical Procedures, [ SDV.CAN ] Life Sciences [q-bio]/Cancer, MESH: Linear Models, MESH: Magnetic Resonance Imaging, MESH: Glioma, 0302 clinical medicine, MESH : Child, MESH : Linear Models, MESH: Child, Medicine, Statistical analysis, MESH : Female, 10. No inequality, Child, MESH: Middle Aged, MESH : Neoplasm Recurrence, Local, MESH: Kinetics, Brain Neoplasms, General Medicine, MESH: Follow-Up Studies, Glioma, MESH : Adult, MESH : Neurosurgical Procedures, Middle Aged, Magnetic Resonance Imaging, 3. Good health, Dacarbazine, MESH: Young Adult, 030220 oncology & carcinogenesis, MESH: Brain Neoplasms, Disease Progression, MESH: Disease Progression, Female, Neurosurgery, MESH : Kinetics, MESH: Neoplasm Recurrence, Local, Surgical resection, Adult, medicine.medical_specialty, Adolescent, MESH : Male, MESH : Antineoplastic Agents, Alkylating, Oligodendroglioma, MESH : Young Adult, [SDV.CAN]Life Sciences [q-bio]/Cancer, MESH : Databases, Factual, Astrocytoma, MESH: Dacarbazine, 03 medical and health sciences, Young Adult, MESH : Adolescent, MESH : Magnetic Resonance Imaging, Linear regression, Grade II Glioma, Temozolomide, Humans, MESH : Middle Aged, MESH : Brain Neoplasms, MESH : Dacarbazine, MESH: Oligodendroglioma, Antineoplastic Agents, Alkylating, Retrospective Studies, Mean diameter, MESH: Adolescent, MESH: Humans, business.industry, WHO Grade II Glioma, MESH : Humans, MESH : Follow-Up Studies, MESH : Astrocytoma, MESH: Adult, MESH: Neurosurgical Procedures, MESH: Retrospective Studies, MESH : Disease Progression, MESH: Databases, Factual, MESH: Male, Surgery, Kinetics, MESH: Astrocytoma, MESH : Glioma, Linear Models, National database, Neurology (clinical), Neoplasm Recurrence, Local, Nuclear medicine, business, MESH: Female, 030217 neurology & neurosurgery, Follow-Up Studies
Abstract: International audience; Grade II gliomas grow slowly and linearly (at rates about 4 mm/year) before undergoing anaplastic transformation. In order to analyze how surgery may affect radiological grade II glioma kinetics, we restrospectively reviewed our national database searching for patients operated on for a supratentorial grade II glioma between 1997 and 2007. We selected patients with at least two postoperative MRI with a minimal delay of 6 months. For each patient, postoperative residues were segmented on successive MRIs. Velocities of diameter expansion were estimated by linear regression of mean diameter evolution for each patient. Fifty-four patients fulfilled inclusion criteria. Median postoperative follow-up was 1.6 years with, on average, 3.4 MRI examinations per patient. Postoperative growth rates of mean diameter were normally distributed, around a mean value of 4.3 mm/year (SD = 3.2 mm/year). Statistical analysis showed no difference between this distribution and the distribution of preoperative growth rates in a previous series of 143 grade II gliomas. For a subset of 23 patients, delay between first MRI and surgery made it possible to estimate also preoperative growth rates. Intrapatient comparison revealed that growth rates were grossly unchanged for 80% of cases. In summary, inter- and intrapatient comparison of pre- and postoperative growth rates proves that surgery does not change grade II glioma dynamics, thus, acting as a cytoreduction.
Published: 2009

18. Support vector machine-based classification of Alzheimer's disease from whole-brain anatomical MRI

Author: Marie Sarazin, Olivier Colliot, Habib Benali, Bruno Dubois, Benoît Magnin, Mélanie Pélégrini-Issac, Lilia Mesrob, Serge Kinkingnéhun, Stéphane Lehéricy, Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Neuro-anatomie fonctionnelle du comportement et de ses troubles, Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR70-Université Pierre et Marie Curie - Paris 6 (UPMC), Institut de psychiatrie et neurosciences (U894 / UMS 1266), Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut d'imagerie neurofonctionnelle (IIN), Institut National de la Santé et de la Recherche Médicale (INSERM)-Ecole Nationale Supérieure des Télécommunications (ENST)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École des hautes études en sciences sociales (EHESS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris-Sud - Paris 11 (UP11)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM), Equipe NEMESIS - Centre de Recherches de l'Institut du Cerveau et de la Moelle épinière (NEMESIS-CRICM), Centre de Recherche de l'Institut du Cerveau et de la Moelle épinière (CRICM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR70-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre de Psychiatrie et Neurosciences (U894), Université Paris-Sud - Paris 11 (UP11)-Université Pierre et Marie Curie - Paris 6 (UPMC)-École des hautes études en sciences sociales (EHESS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Ecole Nationale Supérieure des Télécommunications (ENST)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut National de la Santé et de la Recherche Médicale (INSERM)-ENST-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École des hautes études en sciences sociales (EHESS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris-Sud - Paris 11 (UP11)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC), Laboratoire d'Imagerie Fonctionnelle ( LIF ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Institut National de la Santé et de la Recherche Médicale ( INSERM ) -IFR70-Université Pierre et Marie Curie - Paris 6 ( UPMC ), Centre de Psychiatrie et Neurosciences ( CPN - U894 ), Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), Institut d'imagerie neurofonctionnelle ( IIN ), Institut National de la Santé et de la Recherche Médicale ( INSERM ) -ENST-Assistance publique - Hôpitaux de Paris (AP-HP)-Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -École des hautes études en sciences sociales ( EHESS ) -Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Université Paris-Sud - Paris 11 ( UP11 ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire Traitement du Signal et de l'Image ( LTSI ), Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), Equipe NEMESIS - Centre de Recherches de l'Institut du Cerveau et de la Moelle épinière ( NEMESIS-CRICM ), Centre de Recherche de l'Institut du Cerveau et de la Moelle épinière ( CRICM ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), and Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS )
Subjects: Male, Pathology, medicine.medical_specialty, Neurology, 02 engineering and technology, Disease, Sensitivity and Specificity, Pattern Recognition, Automated, 03 medical and health sciences, 0302 clinical medicine, Alzheimer Disease, Artificial Intelligence, Image Interpretation, Computer-Assisted, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, 0202 electrical engineering, electronic engineering, information engineering, medicine, Humans, Radiology, Nuclear Medicine and imaging, Neuroradiology, Aged, [ INFO.INFO-IM ] Computer Science [cs]/Medical Imaging, medicine.diagnostic_test, business.industry, Brain, Reproducibility of Results, Magnetic resonance imaging, Pattern recognition, medicine.disease, Control subjects, Image Enhancement, Magnetic Resonance Imaging, 3. Good health, Support vector machine, 020201 artificial intelligence & image processing, Female, Neurology (clinical), Artificial intelligence, Alzheimer's disease, Cardiology and Cardiovascular Medicine, business, 030217 neurology & neurosurgery, Algorithms, Automated method
Abstract: International audience; PURPOSE: We present and evaluate a new automated method based on support vector machine (SVM) classification of whole-brain anatomical magnetic resonance imaging to discriminate between patients with Alzheimer's disease (AD) and elderly control subjects. MATERIALS AND METHODS: We studied 16 patients with AD [mean age +/- standard deviation (SD) = 74.1 +/- 5.2 years, mini-mental score examination (MMSE) = 23.1 +/- 2.9] and 22 elderly controls (72.3 +/- 5.0 years, MMSE = 28.5 +/- 1.3). Three-dimensional T1-weighted MR images of each subject were automatically parcellated into regions of interest (ROIs). Based upon the characteristics of gray matter extracted from each ROI, we used an SVM algorithm to classify the subjects and statistical procedures based on bootstrap resampling to ensure the robustness of the results. RESULTS: We obtained 94.5% mean correct classification for AD and control subjects (mean specificity, 96.6%; mean sensitivity, 91.5%). CONCLUSIONS: Our method has the potential in distinguishing patients with AD from elderly controls and therefore may help in the early diagnosis of AD.
Published: 2008

19. 3D bronchial simulator: automatic generation of volumetric CT images for assessment of bronchial parameter quantification methods

Author: Philippe Grenier, Catalin Fetita, Francoise Preteux, Amaury Saragaglia, Département Advanced Research And Techniques For Multidimensional Imaging Systems (ARTEMIS), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Mathématiques Appliquées Paris 5 (MAP5 - UMR 8145), Université Paris Descartes - Paris 5 (UPD5)-Institut National des Sciences Mathématiques et de leurs Interactions (INSMI)-Centre National de la Recherche Scientifique (CNRS), Service de Radiologie Polyvalente Diagnostique et Interventionnelle [CHU Pitié-Salpêtrière], Université Pierre et Marie Curie - Paris 6 (UPMC)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-CHU Pitié-Salpêtrière [APHP], Département Advanced Research And Techniques For Multidimensional Imaging Systems (TSP - ARTEMIS), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Département Advanced Research And Techniques For Multidimensional Imaging Systems ( ARTEMIS ), Institut Mines-Télécom [Paris]-Télécom SudParis ( TSP ), Mathématiques Appliquées à Paris 5 ( MAP5 - UMR 8145 ), Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National des Sciences Mathématiques et de leurs Interactions-Centre National de la Recherche Scientifique ( CNRS ), Service de Radiologie Polyvalente Diagnostique et Interventionnelle, Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Assistance publique - Hôpitaux de Paris (AP-HP)-CHU Pitié-Salpêtrière [APHP], Laboratoire d'Imagerie Fonctionnelle ( LIF ), and Université Pierre et Marie Curie - Paris 6 ( UPMC ) -IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale ( INSERM )
Subjects: Engineering, Ground truth, [ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing, Quantification methods, medicine.diagnostic_test, business.industry, Computed tomography, [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, 02 engineering and technology, 021001 nanoscience & nanotechnology, 01 natural sciences, 010309 optics, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Mesh generation, Medial axis, 0103 physical sciences, Triangle mesh, medicine, Image acquisition, 0210 nano-technology, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Normal, Simulation
Abstract: International audience; The problem of quantifying bronchial parameters from multi-detector computed tomography (MDCT) data has been highly studied in medical research. While the developed methods have been tested and validated on cylindrical computer/physical phantoms or by experimented radiologists on in-vivo/in-vitro CT image data, today there is no established ground truth enabling to compare the different results. This paper proposes an original approach allowing to simulate CT image acquisitions of realistic 3D bronchus-vessel configurations starting from mesh models of perfectly known parameters, with easily modifiable geometry and topology according to different pathology characteristics. The bronchial simulator platform, 3DAirSim, is composed of several modules: 1) 3D model generation of bronchus inner and outer wall surfaces of different calibers, shapes and orientations, 2) texture volume creation corresponding to the lung parenchyma including or not blood vessels, 3) simulation of CT image acquisition mimicking the scanning process. The proposed model generation method relies on the construction of a consistent 2-manifold surface of a branching tubular structure with given medial axis and local radii. First, a coarse triangular mesh is created by connecting polygonal cross-sections along the medial axis. The model is then refined and locally deformed in the surface normal direction under specific force constraints which stabilize its evolution at the level of the input radii. By generating a pathology-specific database, 3DAirSim will contribute to the creation of a test-bed for bronchial parameter quantification. 3DAirSim is currently used to lead various validations of existing approaches with respect to the clinical objective of airway wall remodeling assessment.
Published: 2008

20. Investigation of airways using MDCT for visual and quantitative assessment in COPD patients

Author: Philippe Grenier, Catalin Fetita, Anne-Laure Brun, Catherine Beigelman-Aubry, Amaury Saragaglia, Pierre-Yves Brillet, Francoise Preteux, Réponses Cellulaires et Fonctionnelles à l'Hypoxie (LRPH), Université Paris 13 (UP13)-Université Sorbonne Paris Cité (USPC)-UFR SMBH, Département Advanced Research And Techniques For Multidimensional Imaging Systems (ARTEMIS), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Mathématiques Appliquées Paris 5 (MAP5 - UMR 8145), Université Paris Descartes - Paris 5 (UPD5)-Institut National des Sciences Mathématiques et de leurs Interactions (INSMI)-Centre National de la Recherche Scientifique (CNRS), CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Service de Radiologie Polyvalente Diagnostique et Interventionnelle [CHU Pitié-Salpêtrière], Université Pierre et Marie Curie - Paris 6 (UPMC)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Réponses Cellulaires et Fonctionnelles à l'Hypoxie ( LRPH ), Université Paris 13 ( UP13 ) -Université Sorbonne Paris Cité ( USPC ) -UFR SMBH, Département Advanced Research And Techniques For Multidimensional Imaging Systems ( ARTEMIS ), Institut Mines-Télécom [Paris]-Télécom SudParis ( TSP ), Mathématiques Appliquées à Paris 5 ( MAP5 - UMR 8145 ), Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National des Sciences Mathématiques et de leurs Interactions-Centre National de la Recherche Scientifique ( CNRS ), CHU Pitié-Salpêtrière [APHP], Service de Radiologie Polyvalente Diagnostique et Interventionnelle, Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Assistance publique - Hôpitaux de Paris (AP-HP)-CHU Pitié-Salpêtrière [APHP], Laboratoire d'Imagerie Fonctionnelle ( LIF ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Département Advanced Research And Techniques For Multidimensional Imaging Systems (TSP - ARTEMIS), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), and Université Pierre et Marie Curie - Paris 6 (UPMC)-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-CHU Pitié-Salpêtrière [APHP]
Subjects: medicine.medical_specialty, [ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing, Copd patients, Lumen (anatomy), MESH: Pulmonary Disease, Chronic Obstructive, Review, [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, MESH: Imaging, Three-Dimensional, Air trapping, [SDV.MHEP.PSR]Life Sciences [q-bio]/Human health and pathology/Pulmonology and respiratory tract, 030218 nuclear medicine & medical imaging, Pulmonary Disease, Chronic Obstructive, 03 medical and health sciences, Imaging, Three-Dimensional, 0302 clinical medicine, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, MESH : Tomography, X-Ray Computed, Quantitative assessment, medicine, Humans, MESH: Bronchography, MESH : Bronchography, tracheobronchomalacia, COPD – tracheobronchial tree, COPD, MESH: Humans, Bronchography, business.industry, MESH : Humans, multidetector CT – airway remodeling, MESH : Pulmonary Disease, Chronic Obstructive, General Medicine, medicine.disease, respiratory tract diseases, 030228 respiratory system, Tracheobronchomalacia, MESH : Imaging, Three-Dimensional, Radiology, medicine.symptom, Tomography, X-Ray Computed, business, Airway, MESH: Tomography, X-Ray Computed, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [ SDV.MHEP.PSR ] Life Sciences [q-bio]/Human health and pathology/Pulmonology and respiratory tract
Abstract: International audience; Multidetector computed tomography (MDCT) acquisition during a single breath hold using thin collimation provides high resolution volumetric data set permitting multiplanar and three dimensional reconstruction of the proximal airways. In chronic obstructive pulmonary disease (COPD) patients, this technique provides an accurate assessment of bronchial wall thickening, tracheobronchial deformation, outpouchings reflecting dilatation of the submucous glands, tracheobronchomalacia, and expiratory air trapping. New software developed to segment adequately the lumen and walls of the airways on MDCT scans allows quantitative assessment of the airway dimensions which has shown to be reliable in clinical practice. This technique can become important in longitudinal studies of the pathogenesis of COPD, and in the assessment of therapeutic interventions.
Published: 2008

21. Antiproliferative activities of resveratrol and related compounds in human hepatocyte derived HepG2 cells are associated with biochemical cell disturbance revealed by fluorescence analyses

Author: Brigitte Jannin, Jessica Abrossinow, Allan Lançon, Gérard Lizard, Edmond Kahn, Norbert Latruffe, Didier Colin, Dominique Delmas, Laboratoire de Biochimie Moléculaire et Cellulaire ( LBMC ), Université de Bourgogne ( UB ), Lipides - Nutrition - Cancer (U866) ( LNC ), Université de Bourgogne ( UB ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Ecole Nationale Supérieure de Biologie Appliquée à la Nutrition et à l'Alimentation de Dijon ( ENSBANA ), Laboratoire d'Imagerie Fonctionnelle ( LIF ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Laboratoire de Biochimie Moléculaire et Cellulaire (LBMC), Université de Bourgogne (UB), Lipides - Nutrition - Cancer (U866) (LNC), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Bourgogne (UB)-Ecole Nationale Supérieure de Biologie Appliquée à la Nutrition et à l'Alimentation de Dijon (ENSBANA)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), and Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Ecole Nationale Supérieure de Biologie Appliquée à la Nutrition et à l'Alimentation de Dijon (ENSBANA)
Subjects: Antioxidant, endocrine system diseases, medicine.medical_treatment, Cell, 3-Viniferin, Resveratrol, Biochemistry, Antioxidants, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Phenols, Acetate derivatives, Cell Line, Tumor, Stilbenes, medicine, Humans, [SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology, skin and connective tissue diseases, [ SDV.BBM ] Life Sciences [q-bio]/Biochemistry, Molecular Biology, 030304 developmental biology, Cell Proliferation, Cell uptake, 0303 health sciences, Cell growth, organic chemicals, food and beverages, General Medicine, Free radical scavenger, 3. Good health, medicine.anatomical_structure, chemistry, Cell culture, Polyphenol, 030220 oncology & carcinogenesis, Cancer cell, Autofluorescence, Hepatocytes, NADP
Abstract: International audience; Resveratrol is a well known polyphenol largely produced in grapevine. It is a strong antioxidant and a free radical scavenger. It exhibits several beneficial effects for health including cancer. Resveratrol antioxidant activity is essential in the prevention of chemical-induced cancer by inhibiting initiation step of carcinogenesis process but it is also considered to inhibit cancer promotion and progression steps. While the effects of resveratrol on cancer cells are widely described, the data available on the antiproliferative potential of resveratrol derivatives remain weak. Nevertheless, resveratrol analogs could exhibit stronger potentials than the parent molecule. So, we compared the cellular effects of trans-resveratrol, trans-epsilon-viniferin and their respective acetate derivatives, as well as a polyphenol mixture extracted from grapevine shoots, called vineatrol. We studied their abilities to interfere with cell proliferation, their uptake and their effects on parameters of cellular state in human hepatoma cells (HepG2). Cell growth experiments show that resveratrol triacetate presents a slightly better antiproliferative potential than resveratrol. The dimer epsilon-viniferin,as well as its pentaacetate analog, is less powerful than resveratrol, although a similar uptake kinetics in cells. Interestingly, among the tested polyphenols, vineatrol is the most potent solution, indicating a possible synergistic effect of both resveratrol and epsilon-viniferin. We took advantage of the fluorescence properties of these compounds to evidence cellular uptake by using flow cytometry. In addition, by competition assay, we demonstrate that resveratrol triacetate enters in hepatic HepG2 cells by the same way as resveratrol. By autofluorescence in situ measurement we observed that resveratrol and related compounds induce deep changes in cells activity. These changes occur mainly by increasing NADPH cell content and the number of green fluorescent cytoplasmic granular structures which may be related to an induction of detoxifying enzyme mechanisms.
Published: 2007

22. Cytotoxic oxysterols induce caspase-independent myelin figure formation and caspase-dependent polar lipid accumulation

Author: Edmond Kahn, Gérard Lizard, Jean-Marc Riedinger, Thomas Montange, Franck Ménétrier, Anne Vejux, Jeannine Lherminier, Laboratoire de Biochimie Moléculaire et Cellulaire (LBMC), Université de Bourgogne (UB), Lipides - Nutrition - Cancer (U866) (LNC), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Bourgogne (UB)-Ecole Nationale Supérieure de Biologie Appliquée à la Nutrition et à l'Alimentation de Dijon (ENSBANA)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre de Microscopie Appliqué à la Biologie et à la Médecine, Institut National de la Santé et de la Recherche Médicale (INSERM), Service Commun de Microscopie Electronique, Institut National de la Recherche Agronomique (INRA), Laboratoire de Biologie Médicale [Centre Georges-François leclerc], Centre Régional de Lutte contre le cancer Georges-François Leclerc [Dijon] (UNICANCER/CRLCC-CGFL), UNICANCER-UNICANCER, Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Ecole Nationale Supérieure de Biologie Appliquée à la Nutrition et à l'Alimentation de Dijon (ENSBANA), Centre Régional de Lutte contre le cancer - Centre Georges-François Leclerc (CRLCC - CGFL), Laboratoire de Biochimie Moléculaire et Cellulaire ( LBMC ), Université de Bourgogne ( UB ), Lipides - Nutrition - Cancer (U866) ( LNC ), Université de Bourgogne ( UB ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Ecole Nationale Supérieure de Biologie Appliquée à la Nutrition et à l'Alimentation de Dijon ( ENSBANA ), Laboratoire d'Imagerie Fonctionnelle ( LIF ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Institut National de la Santé et de la Recherche Médicale ( INSERM ), Institut National de la Recherche Agronomique ( INRA ), Centre Régional de Lutte contre le cancer - Centre Georges-François Leclerc ( CRLCC - CGFL ), Santé - STIC, Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM), and Saidi, Vanessa
Subjects: Programmed cell death, Cell Membrane Permeability, Histology, Apoptosis, 03 medical and health sciences, chemistry.chemical_compound, Myelin, 0302 clinical medicine, medicine, polycyclic compounds, Humans, [ SDV.IB ] Life Sciences [q-bio]/Bioengineering, Propidium iodide, Enzyme Inhibitors, Ketocholesterols, Molecular Biology, Myelin Sheath, Caspase, 030304 developmental biology, [SDV.IB] Life Sciences [q-bio]/Bioengineering, Cell Nucleus, 0303 health sciences, biology, Nile red, Lipid metabolism, U937 Cells, Cell Biology, Tunicamycin, Lipid Metabolism, Caspase Inhibitors, Cell biology, Medical Laboratory Technology, medicine.anatomical_structure, chemistry, Caspases, 030220 oncology & carcinogenesis, biology.protein, lipids (amino acids, peptides, and proteins), [SDV.IB]Life Sciences [q-bio]/Bioengineering, Propidium
Abstract: Oxysterols, mainly those oxidized at the C7 position, induce a complex mode of cell death exhibiting some characteristics of apoptosis associated with a rapid induction of lipid rich multilamellar cytoplasmic structures (myelin figures) observed in various pathologies including atherosclerosis. The aim of this study was to determine the relationships between myelin figure formation, cell death, and lipid accumulation in various cell lines (U937, THP-1, MCF-7 [caspase-3 deficient], A7R5) treated either with oxysterols (7-ketocholesterol [7KC], 7beta-hydroxycholesterol, cholesterol-5alpha,6alpha-epoxide, cholesterol-5beta,6beta-epoxide, 25-hydroxycholesterol) or cytotoxic drugs (etoposide, daunorubicin, tunicamycin, rapamycin). Cell death was assessed by the measurement of cellular permeability with propidium iodide, characterization of the morphological aspect of the nuclei with Hoechst 33342, and identification of myelin figures by transmission electron microscopy. Nile Red staining (distinguishing neutral and polar lipids) was used to identify lipid content by flow cytometry and spectral imaging microscopy. Whatever the cells considered, myelin figures were only observed with cytotoxic oxysterols (7KC, 7beta-hydroxycholesterol, cholesterol-5beta, 6beta-epoxide), and their formation was not inhibited by the broad spectrum caspase inhibitor z-VAD-fmk. When U937 cells were treated with oxysterols or cytotoxic drugs, polar lipid accumulation was mainly observed with 7KC and 7beta-hydroxycholesterol. The highest polar lipid accumulation, which was triggered by 7KC, was counteracted by z-VAD-fmk. These findings demonstrate that myelin figure formation is a caspase-independent event closely linked with the cytotoxicity of oxysterols, and they highlight a relationship between caspase activity and polar lipid accumulation.
Published: 2007

23. Effects of caspase inhibitors (z-VAD-fmk, z-VDVAD-fmk) on Nile Red fluorescence pattern in 7-ketocholesterol-treated cells: Investigation by flow cytometry and spectral imaging microscopy

Author: Gérard Lizard, Edmond Kahn, Jean-Marc Riedinger, Yves Tourneur, Frédérique Frouin, Anne Vejux, Lipides - Nutrition - Cancer (U866) ( LNC ), Université de Bourgogne ( UB ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Ecole Nationale Supérieure de Biologie Appliquée à la Nutrition et à l'Alimentation de Dijon ( ENSBANA ), Centre Commun de Quantimétrie, Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon, Centre Régional de Lutte contre le cancer - Centre Georges-François Leclerc ( CRLCC - CGFL ), Laboratoire d'Imagerie Fonctionnelle ( LIF ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Lipides - Nutrition - Cancer (U866) (LNC), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Bourgogne (UB)-Ecole Nationale Supérieure de Biologie Appliquée à la Nutrition et à l'Alimentation de Dijon (ENSBANA)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Université Claude Bernard Lyon 1 (UCBL), Centre Régional de Lutte contre le cancer Georges-François Leclerc [Dijon] (UNICANCER/CRLCC-CGFL), UNICANCER, Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Ecole Nationale Supérieure de Biologie Appliquée à la Nutrition et à l'Alimentation de Dijon (ENSBANA), and Saidi, Vanessa
Subjects: Histology, Confocal, Caspase 2, Fluorescence, Pathology and Forensic Medicine, law.invention, Flow cytometry, Amino Acid Chloromethyl Ketones, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Confocal microscopy, law, Oxazines, medicine, Image Processing, Computer-Assisted, Humans, [ SDV.IB ] Life Sciences [q-bio]/Bioengineering, Enzyme Inhibitors, Ketocholesterols, 030304 developmental biology, [SDV.IB] Life Sciences [q-bio]/Bioengineering, Cell Nucleus, 0303 health sciences, Microscopy, Microscopy, Confocal, biology, medicine.diagnostic_test, Nile red, Lipid metabolism, Cell Biology, U937 Cells, Flow Cytometry, Lipid Metabolism, Molecular biology, Caspase Inhibitors, 3. Good health, Staining, chemistry, 030220 oncology & carcinogenesis, biology.protein, [SDV.IB]Life Sciences [q-bio]/Bioengineering, biological phenomena, cell phenomena, and immunity, Factor Analysis, Statistical
Abstract: Background: The 7-ketocholesterol (7KC)-induced cell death has some characteristics of apoptosis and is associated with polar lipid accumulation. So, we investigated the effects of the broad-spectrum caspase inhibitor z-VAD-fmk and of the caspase-2 inhibitor z-VDVAD-fmk on lipid profile evaluated by staining with Nile Red (NR). Methods: The 7KC-treated human monocytic U937 cells were cultured in the absence or in the presence of the caspase inhibitors z-VAD-fmk or z-VDVAD-fmk. When staining with NR is performed, neutral and polar lipids have yellow and orange/red emission, respectively, and fluorescence was then analyzed by flow cytometry (FCM) and by confocal laser scanning microscopy (CLSM) combined with subsequent image processing. The 3D-image sequences were obtained by means of CLSM using spectral analysis, and were analyzed by the factor analysis of medical image sequences algorithm to differentiate spectra inside mixed fluorescence emission and get corresponding specific images. Results: By FCM, comparatively to untreated cells, higher percentages of red fluorescent cells were identified in 7KC-treated cells. Factor curves and images reveal orange and red fluorescence emissions in 7KC-treated cells and show yellow, orange, and red fluorescence emissions in 7KC-treated cells cultured in the presence of z-VAD-fmk or z-VDVAD-fmk. Conclusions: Our data support that investigation by FCM and by spectral analysis in CLSM associated with subsequent image processing provides useful tools to determine the effect of caspase inhibitors on lipid content evaluated with NR. They also favor the hypothesis of relationships between caspase activity and polar lipid accumulation. © 2007 International Society for Analytical Cytology
Published: 2007

24. Does the left inferior longitudinal fasciculus play a role in language? A brain stimulation study

Author: Hugues Duffau, Emmanuel Mandonnet, Peggy Gatignol, Aurélien Nouet, Laurent Capelle, Laboratoire d'Imagerie Fonctionnelle ( LIF ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Service de Neurochirurgie [CHU Pitié-Salpêtrière], Assistance publique - Hôpitaux de Paris (AP-HP)-CHU Pitié-Salpêtrière [APHP], Laboratoire de la Cognition et du Comportement, Université Paris Descartes - Paris 5 ( UPD5 ) -Centre National de la Recherche Scientifique ( CNRS ), Département de neurochirurgie, Centre Hospitalier Régional Universitaire [Montpellier] ( CHRU Montpellier ), Saidi, Vanessa, Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Université Paris Descartes - Paris 5 (UPD5)-Centre National de la Recherche Scientifique (CNRS), Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), and Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)
Subjects: Male, MESH : Postoperative Per, MESH : Brain Mapping, MESH : Electric Stimulation, MESH: Language Disorders, MESH : Anomia, MESH: Magnetic Resonance Imaging, MESH: Glioma, Intraoperative Period, 0302 clinical medicine, MESH : Neural Pathways, Neural Pathways, Arcuate fasciculus, Semantic memory, MESH : Female, Postoperative Period, [ SDV.IB ] Life Sciences [q-bio]/Bioengineering, MESH: Brain Mapping, Language, Temporal cortex, Cerebral Cortex, Brain Mapping, MESH: Middle Aged, Brain Neoplasms, 05 social sciences, MESH: Electric Stimulation, Glioma, Middle Aged, MESH : Adult, Magnetic Resonance Imaging, MESH : Language Disorders, Temporal Lobe, Semantics, medicine.anatomical_structure, MESH: Anomia, MESH: Language, MESH: Brain Neoplasms, MESH : Cerebral Cortex, Female, [SDV.IB]Life Sciences [q-bio]/Bioengineering, MESH : Intraoperative Period, Psychology, Adult, MESH : Male, Uncinate fasciculus, Anomia, Occipitofrontal fasciculus, 050105 experimental psychology, Temporal lobe, 03 medical and health sciences, MESH : Language, MESH : Magnetic Resonance Imaging, medicine, Humans, 0501 psychology and cognitive sciences, MESH : Middle Aged, Inferior longitudinal fasciculus, MESH : Brain Neoplasms, [SDV.IB] Life Sciences [q-bio]/Bioengineering, MESH: Intraoperative Period, Language Disorders, MESH: Humans, MESH: Neural Pathways, MESH : Humans, MESH: Adult, Electric Stimulation, MESH: Male, MESH: Cerebral Cortex, MESH: Postoperative Per, MESH: Nerve Net, MESH : Glioma, Brain stimulation, MESH : Nerve Net, Neurology (clinical), Nerve Net, Neuroscience, MESH: Female, 030217 neurology & neurosurgery
Abstract: Although advances in diffusion tensor imaging have enabled us to better study the anatomy of the inferior longitudinal fasciculus (ILF), its function remains poorly understood. Recently, it was suggested that the subcortical network subserving the language semantics could be constituted, in parallel with the inferior occipitofrontal fasciculus, by the left ILF, joining the posterior occipitotemporal regions to the temporal pole, then relayed by the uncinate fasciculus connecting the anterior temporal pole to the frontobasal areas. Nevertheless, this hypothesis was solely based on neurofunctional imaging, allowing a cortical mapping but with no anatomofunctional information regarding the white matter. Here, we report a series of 12 patients operated on under local anaesthesia for a cerebral low-grade glioma located within the left temporal lobe. Before and during resection, we used the method of intraoperative direct electrostimulation, enabling us to perform accurate and reliable anatomofunctional correlations both at cortical and subcortical levels. In order to map the ILF. Using postoperative MRI, we correlated these functional findings with the anatomical locations of the sites where language disturbances were elicited by stimulations, both at cortical and subcortical levels. Our goal was to study the potential existence of parallel and distributed language networks crossing the left dominant temporal lobe, subserved by distinct subcortical pathways--namely the inferior occipitofrontal fasciculus and the ILF. Intraoperative stimulation of the anterior and middle temporal cortex elicited anomia in four patients. At the subcortical level, semantic paraphasia were induced in seven patients during stimulation of the inferior occipitofrontal fasciculus, and phonological paraphasia was generated in seven patients by stimulating the arcuate fasciculus. Interestingly, subcortical stimulation never elicited any language disturbances when performed at the level of the ILF. In addition, following a transient postoperative language deficit, all patients recovered, despite the resection of at least one part of the ILF, as confirmed by control MRI. On the basis of these results, we suggest that the "semantic ventral stream" could be constituted by at least two parallel pathways within the left dominant temporal lobe: (i) a direct pathway, the inferior occipitofrontal fasciculus, that connects the posterior temporal areas and the orbitofrontal region, crucial for language semantic processing, since it elicits semantic paraphasia when stimulated; (ii) and also possibly an indirect pathway subserved by the ILF, not indispensable for language, since it can be compensated both during stimulation and after resection.
Published: 2007

25. An automated myocardial segmentation in cardiac MRI

Author: Elie Mousseaux, Frédérique Frouin, Alban Redheuil, Alain Herment, Elsa D. Angelini, Isabelle Bloch, R. El Berbari, El Berbari, Racha, Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire Traitement et Communication de l'Information (LTCI), Télécom ParisTech-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Service de radiologie cardio-vasculaire [CHU HEGP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Européen Georges Pompidou [APHP] (HEGP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO), Laboratoire d'Imagerie Fonctionnelle ( LIF ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Laboratoire Traitement et Communication de l'Information ( LTCI ), Télécom ParisTech-Institut Mines-Télécom [Paris]-Centre National de la Recherche Scientifique ( CNRS ), and Assistance publique - Hôpitaux de Paris (AP-HP)-Hôpital Européen Georges Pompidou [APHP] ( HEGP )
Subjects: Computer science, Radiography, Feature extraction, Initialization, Image processing, 02 engineering and technology, Edge detection, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, Image Processing, Computer-Assisted, 0202 electrical engineering, electronic engineering, information engineering, Humans, Computer vision, Segmentation, [ SDV.IB ] Life Sciences [q-bio]/Bioengineering, Closing (morphology), Endocardium, [SDV.IB] Life Sciences [q-bio]/Bioengineering, business.industry, Image segmentation, [ SDV.MHEP.CSC ] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, Magnetic Resonance Imaging, [SDV.MHEP.CSC] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, 020201 artificial intelligence & image processing, [SDV.IB]Life Sciences [q-bio]/Bioengineering, Artificial intelligence, business, Cardiac magnetic resonance, Pericardium, Algorithms
Abstract: Proceedings of the 29th Annual International Conference of the IEEE EMBS Cité Internationale, Lyon, France; International audience; In this paper we present an automatic approach to segment Cardiac Magnetic Resonance (CMR) images. A preprocessing step that consists in filtering the image using connected operators (area opening and closing filters) is applied in order to homogenize the cavity and solve the problems due to the papillary muscles. Thereby the GVF snake algorithm is applied with one point clicked in the cavity as initialization and an optimized tuning of parameters for the endocardial contour extraction. The epicardial border is then obtained using the endocardium as initialization. The performance of the proposed method was assessed by experimentation on thirtynine CMR images. A high agreement between manual and automatic contours was obtained with correlation scores of 0.96 for the endocardium and 0.90 for the epicardium. Overlapping percentage, mean and maximum distances between the two contours show a good performance of the method.
Published: 2007

26. Vascular remodeling after 'successful' repair of coarctation: impact of aortic arch geometry

Author: Phalla, Ou, David S, Celermajer, Elie, Mousseaux, Alain, Giron, Yacine, Aggoun, Isabelle, Szezepanski, Daniel, Sidi, Damien, Bonnet, Saidi, Vanessa, Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de radiologie pédiatrique [CHU Necker], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Necker - Enfants Malades [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Department of Medicine, The University of Sydney, Service de radiologie cardio-vasculaire [CHU HEGP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Européen Georges Pompidou [APHP] (HEGP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO), Service de cardiologie pédiatrique [CHU Necker], Laboratoire d'Imagerie Fonctionnelle ( LIF ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Assistance publique - Hôpitaux de Paris (AP-HP)-CHU Necker - Enfants Malades [AP-HP], The University of Sydney [Sydney], Assistance publique - Hôpitaux de Paris (AP-HP)-Hôpital Européen Georges Pompidou [APHP] ( HEGP ), CHU Necker - Enfants Malades [AP-HP], and Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)
Subjects: Male, Adolescent, MESH : Male, MESH: Aorta, Thoracic, Aorta, Thoracic, Blood Pressure, MESH : Body Height, Aortic Coarctation, MESH: Multivariate Analysis, MESH : Adolescent, MESH: Body Height, MESH : Blood Pressure, Humans, MESH : Female, [ SDV.IB ] Life Sciences [q-bio]/Bioengineering, MESH : Aortic Valve Stenosis, MESH : Body Weight, MESH: Aortic Valve Stenosis, MESH : Aorta, Thoracic, [SDV.IB] Life Sciences [q-bio]/Bioengineering, MESH: Adolescent, MESH: Age Factors, MESH: Humans, Body Weight, MESH : Humans, MESH: Aortic Coarctation, Age Factors, MESH : Multivariate Analysis, Aortic Valve Stenosis, MESH: Blood Pressure, Body Height, MESH: Male, MESH: Body Weight, MESH : Aortic Coarctation, Multivariate Analysis, cardiovascular system, Female, [SDV.IB]Life Sciences [q-bio]/Bioengineering, MESH : Age Factors, MESH: Female
Abstract: OBJECTIVES: This study was designed to investigate the influence of aortic arch geometry on vascular remodeling after anatomically successful repair of coarctation of the aorta (CoA). BACKGROUND: Abnormalities of the precoarctation vasculature are known to occur after CoA repair and appear related to adverse outcomes. The influence of aortic arch geometry on such abnormalities is unknown. METHODS: Sixty-three postcoarctectomy subjects (age 15.9 +/- 6.3 years) were compared with 63 control volunteers. Aortic arch shape was characterized on magnetic resonance imaging using both qualitative classification, identifying 3 subtypes of arch geometry (Gothic, Crenel, Romanesque), and a quantitative index, height/width ratio (H/W) of the aorta. Using ultrasound, we measured carotid artery intima-media thickness (IMT) and stiffness index and distensibility, as well as right brachial artery flow-mediated dilation (FMD) and glyceryl trinitate (GTN)-induced dilatation, to assess the precoarctation vasculature of these subjects. RESULTS: Gothic arch type was associated with higher carotid IMT and stiffness index, lower carotid distensibility (p < 0.001 for all), and lower brachial reactivity (FMD, p < 0.01; GTN response, p < 0.001) compared with Crenel and Romanesque geometries and with control subjects. The height/width ratio was also significantly related to these vascular abnormalities. Even in CoA subjects with Romanesque arch geometry, arterial function and stiffness parameters were significantly impaired compared with control subjects. CONCLUSIONS: In young adult survivors of anatomically successful CoA repair, a gothic-type aortic arch with high H/W is associated with abnormal IMT, higher aortic stiffness index, and impaired arterial reactivity in the pre-CoA vasculature.
Published: 2007

27. Flow cytometry and spectral imaging multiphoton microscopy analysis of CD36 expression with quantum dots 605 of untreated and 7-ketocholesterol-treated human monocytic cells

Author: Kahn, E., Menetrier, F., Vejux, A., Montange, T., Dumas, D., Riedinger, J. M., Frédérique Frouin, Tourneur, Y., Brau, F., Stoltz, J. F., Lizard, G., Laboratoire d'Imagerie Fonctionnelle ( LIF ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Laboratoire de Biochimie Moléculaire et Cellulaire ( LBMC ), Université de Bourgogne ( UB ), Lipides - Nutrition - Cancer (U866) ( LNC ), Université de Bourgogne ( UB ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Ecole Nationale Supérieure de Biologie Appliquée à la Nutrition et à l'Alimentation de Dijon ( ENSBANA ), Laboratoire d'Energétique et de Mécanique Théorique Appliquée ( LEMTA ), Université de Lorraine ( UL ) -Centre National de la Recherche Scientifique ( CNRS ), Plate-forme Imagerie et Biophysique Cellulaire et Tissulaire ( PTIBC-IBISA Nancy ), Université Henri Poincaré - Nancy 1 ( UHP ), Laboratoire de Biologie Médicale [Centre Georges-François leclerc], Centre Régional de Lutte contre le cancer - Centre Georges-François Leclerc ( CRLCC - CGFL ), Centre Commun de Quantimétrie, Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon, Institut de pharmacologie moléculaire et cellulaire ( IPMC ), Université Nice Sophia Antipolis ( UNS ), Université Côte d'Azur ( UCA ) -Université Côte d'Azur ( UCA ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire de Biochimie Moléculaire et Cellulaire (LBMC), Université de Bourgogne (UB), Lipides - Nutrition - Cancer (U866) (LNC), Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Ecole Nationale Supérieure de Biologie Appliquée à la Nutrition et à l'Alimentation de Dijon (ENSBANA), Laboratoire Énergies et Mécanique Théorique et Appliquée (LEMTA ), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Plate-forme Imagerie et Biophysique Cellulaire et Tissulaire (PTIBC-IBISA Nancy), Université Henri Poincaré - Nancy 1 (UHP), Centre Régional de Lutte contre le cancer Georges-François Leclerc [Dijon] (UNICANCER/CRLCC-CGFL), UNICANCER-UNICANCER, Université Claude Bernard Lyon 1 (UCBL), Institut de pharmacologie moléculaire et cellulaire (IPMC), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Bourgogne (UB)-Ecole Nationale Supérieure de Biologie Appliquée à la Nutrition et à l'Alimentation de Dijon (ENSBANA)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Université Nice Sophia Antipolis (... - 2019) (UNS), and Dumas, Dominique
Subjects: CD36 Antigens, MESH: Photons, MESH : Flow Cytometry, MESH: Algorithms, MESH: Flow Cytometry, MESH: U937 Cells, MESH : Quantum Dots, MESH: Monocytes, Monocytes, MESH : Microscopy, Fluorescence, Multiphoton, MESH : Photons, Quantum Dots, MESH : Cells, Cultured, [SDV.BBM] Life Sciences [q-bio]/Biochemistry, Molecular Biology, Humans, [SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology, Ketocholesterols, [ SDV.BBM ] Life Sciences [q-bio]/Biochemistry, Molecular Biology, Cells, Cultured, MESH : Algorithms, MESH : Ketocholesterols, Photons, MESH: Humans, MESH: Antigens, CD36, MESH : Humans, MESH: Ketocholesterols, U937 Cells, MESH: Quantum Dots, Flow Cytometry, MESH : Antigens, CD36, Microscopy, Fluorescence, Multiphoton, MESH : Monocytes, MESH : U937 Cells, MESH: Microscopy, Fluorescence, Multiphoton, Algorithms, MESH: Cells, Cultured
Abstract: To evaluate CD36 expression with quantum dots 605 (QDs 605) on untreated and 7-ketocholesterol (7KC)-treated monocytic U937 cells by flow cytometry (FCM) and confocal and multiphoton laser scanning microscopy (CLSM).Cells were analyzed by CLSM, following flow cytometric quantification of CD36 expression and 7KC uptake. Image sequences were obtained by spectral analysis in monophoton and multiphoton CLSM and analyzed by the factor analysis of medical image sequences (FAMIS) algorithm to differentiate emission spectra. In CLSM analysis, cell deposits were screened in ultraviolet excitation modes to optimize the possibilities of QDs 605 and have the benefit of nuclei counterstaining by DAPI.FCM and CLSM reveal the expression of CD36 by means of QDs 605. FCM provides information on 7KC uptake. CLSM provides the localization of 7KC vs. DAPI. As factor curves and images show the red, narrow emission of QDs 605 vs. violet and blue emissions of 7KC and DAPI, respectively, a reliable identification of CD36 is obtained.QDs 605 are useful tools to perform antigenic expression in FCM and CLSM. Moreover, CLSM and subsequent spectral analysis provide a more specific characterization of QDs 605 fluorescent emission in the UV excitation mode and a simultaneous identification of 7KC.
Published: 2006

28. fMRI study of problem-solving after severe traumatic brain injury

Author: Mélanie Pélégrini-Issac, Antoine Feydy, Romain Valabregue, Laurent Pierot, Fabienne Cazalis, Philippe Azouvi, Plasticité cérébrale et adaptations des fonctions visuelles et motrices, Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), Laboratoire d'Imagerie Fonctionnelle ( LIF ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Institut d'imagerie neurofonctionnelle ( IIN ), Institut National de la Santé et de la Recherche Médicale ( INSERM ) -ENST-Assistance publique - Hôpitaux de Paris (AP-HP)-Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -École des hautes études en sciences sociales ( EHESS ) -Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Université Paris-Sud - Paris 11 ( UP11 ) -Centre National de la Recherche Scientifique ( CNRS ), Université de Reims Champagne-Ardenne ( URCA ), Service de réeducation fonctionnelle [Raymond Poincaré], Assistance publique - Hôpitaux de Paris (AP-HP)-AP-HP Hôpital Raymond Poincaré [Garches], Physiologie et physiopathologie de la motricité chez l'homme, Université Pierre et Marie Curie - Paris 6 ( UPMC ) -IFR70-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut d'imagerie neurofonctionnelle (IIN), Institut National de la Santé et de la Recherche Médicale (INSERM)-Ecole Nationale Supérieure des Télécommunications (ENST)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École des hautes études en sciences sociales (EHESS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris-Sud - Paris 11 (UP11)-Centre National de la Recherche Scientifique (CNRS), Université de Reims Champagne-Ardenne (URCA), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Raymond Poincaré [AP-HP], Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR70-Institut National de la Santé et de la Recherche Médicale (INSERM), and Université Paris-Sud - Paris 11 (UP11)-Université Pierre et Marie Curie - Paris 6 (UPMC)-École des hautes études en sciences sociales (EHESS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Ecole Nationale Supérieure des Télécommunications (ENST)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)
Subjects: Male, MESH : Brain Mapping, Neuropsychological Tests, Audiology, MESH : Prefrontal Cortex, MESH: Magnetic Resonance Imaging, 0302 clinical medicine, Cortex (anatomy), Image Processing, Computer-Assisted, Developmental and Educational Psychology, MESH : Female, MESH : Gyrus Cinguli, Problem Solving, MESH: Brain Mapping, Dysexecutive syndrome, Brain Mapping, MESH : Brain Injuries, 05 social sciences, Healthy subjects, MESH: Neuropsychological Tests, MESH : Adult, Magnetic Resonance Imaging, MESH: Case-Control Studies, MESH: Image Processing, Computer-Assisted, MESH : Neuropsychological Tests, medicine.anatomical_structure, Female, Psychology, psychological phenomena and processes, MESH : Image Processing, Computer-Assisted, MESH: Problem Solving, Adult, Brain activation, medicine.medical_specialty, MESH : Case-Control Studies, Adolescent, Traumatic brain injury, MESH : Male, Neuroscience (miscellaneous), Prefrontal Cortex, Gyrus Cinguli, behavioral disciplines and activities, 050105 experimental psychology, 03 medical and health sciences, MESH : Cognition Disorders, MESH: Gyrus Cinguli, MESH : Adolescent, MESH : Magnetic Resonance Imaging, MESH : Problem Solving, Reaction Time, medicine, Humans, 0501 psychology and cognitive sciences, Anterior cingulate cortex, MESH: Adolescent, MESH: Humans, [SDV.BA.MVSA]Life Sciences [q-bio]/Animal biology/Veterinary medicine and animal Health, MESH : Humans, MESH: Adult, medicine.disease, MESH: Male, MESH: Reaction Time, MESH: Cognition Disorders, nervous system, Brain Injuries, Case-Control Studies, MESH : Reaction Time, MESH: Brain Injuries, MESH: Prefrontal Cortex, Neurology (clinical), [ SDV.BA.MVSA ] Life Sciences [q-bio]/Animal biology/Veterinary medicine and animal Health, Cognition Disorders, Neuroscience, MESH: Female, 030217 neurology & neurosurgery
Abstract: International audience; OBJECTIVE: To assess the cerebral correlates of the dysexecutive syndrome after diffuse severe traumatic brain injury (TBI). METHODS: Ten patients with sub-acute/chronic severe TBI without detectable focal cortical contusion and 11 matched healthy subjects were included in a parametric fMRI study using a planning task, the Tower of London. RESULTS: Brain activation in the left Dorsolateral Pre-frontal Cortex (DLPFC) and the Anterior Cingulate Cortex (ACC) was closely related to performance. Patients with TBI who performed the task efficiently showed, like healthy controls who obtained a similar pattern of performance, a large activation in the left DLPFC and a small activation in the ACC. In contrast, poor performance was associated with a reduced activation in these both regions. CONCLUSION: Problem-solving deficits after severe diffuse TBI could be related to an impaired activation of the DLPFC and of the ACC.
Published: 2006

29. Dynamics of thymus-colonizing cells during human development

Author: Frederic Jourquin, Rima Haddad, Isabelle André-Schmutz, Cecile Schiffer, Micael Yagello, Niclas Setterblad, Emmanuelle Six, Anne-Lise Delezoide, Bruno Canque, Marina Cavazzana-Calvo, Fabien Guimiot, Françoise Pflumio, Jean Claude Gluckman, Edmond Kahn, Institut Universitaire d'Hématologie (IUH), Université Paris Diderot - Paris 7 (UPD7), Service de Biologie du Développement, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Robert Debré, Developpement Normal et Pathologique du Système Immunitaire, Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Service Commun d'Imagerie Cellulaire et Moléculaire, Université Paris Diderot - Paris 7 (UPD7)-Université Paris Diderot - Paris 7 (UPD7)-Groupe Hospitalier Saint Louis - Lariboisière - Fernand Widal [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut Cochin (UMR_S567 / UMR 8104), Saidi, Vanessa, Laboratoire d'Immunologie Cellulaire et Immunopathologie de l'Ecole Pratique des Hautes Etudes, Université Paris Diderot - Paris 7 ( UPD7 ) -Centre National de la Recherche Scientifique ( CNRS ), Assistance publique - Hôpitaux de Paris (AP-HP)-Hôpital Robert Debré, Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Institut Universitaire d'Hématologie ( IUH ), Université Paris Diderot - Paris 7 ( UPD7 ) -Université Paris Diderot - Paris 7 ( UPD7 ) -Groupe Hospitalier Saint Louis - Lariboisière - Fernand Widal [Paris], Laboratoire d'Imagerie Fonctionnelle ( LIF ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Institut Cochin ( UMR_S567 / UMR 8104 ), Groupe Hospitalier Saint Louis - Lariboisière - Fernand Widal [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut Universitaire d'Hématologie (IUH), and Université Paris Diderot - Paris 7 (UPD7)-Université Paris Diderot - Paris 7 (UPD7)
Subjects: MESH : Bone Marrow, Antigens, Differentiation, T-Lymphocyte, Pathology, MESH: Hematopoietic Stem Cells, Mice, 0302 clinical medicine, Bone Marrow, Cell Movement, Immunology and Allergy, MESH : Cell Movement, MESH: Animals, [ SDV.IB ] Life Sciences [q-bio]/Bioengineering, MESH: Antigens, CD, MESH: Cell Movement, MESH : Organ Culture Techniques, 0303 health sciences, education.field_of_study, B-Lymphocytes, Cell Differentiation, Phenotype, MESH : Mice, Transgenic, Cell biology, Haematopoiesis, MESH : Phenotype, MESH : Antigens, Differentiation, T-Lymphocyte, medicine.anatomical_structure, Infectious Diseases, MESH: Bone Marrow, [SDV.IB]Life Sciences [q-bio]/Bioengineering, MESH : Cell Differentiation, MESH: Cell Differentiation, medicine.medical_specialty, MESH: Mice, Transgenic, T cell, Population, Immunology, Mice, Transgenic, Thymus Gland, Biology, MESH: Phenotype, MESH : B-Lymphocytes, 03 medical and health sciences, Organ Culture Techniques, Antigens, CD, MESH: B-Lymphocytes, MESH : Mice, medicine, MESH : Antigens, CD, Animals, Humans, MESH : Thymus Gland, Progenitor cell, education, MESH: Mice, 030304 developmental biology, [SDV.IB] Life Sciences [q-bio]/Bioengineering, Fetus, MESH: Humans, MESH : Hematopoietic Stem Cells, MESH : Humans, MESH: Thymus Gland, Hematopoietic Stem Cells, MESH: Organ Culture Techniques, MESH: Antigens, Differentiation, T-Lymphocyte, Bone marrow, MESH : Animals, Ex vivo, 030215 immunology
Abstract: SummaryHere, we identify fetal bone marrow (BM)-derived CD34hiCD45RAhiCD7+ hematopoietic progenitors as thymus-colonizing cells. This population, virtually absent from the fetal liver (FL), emerges in the BM by development weeks 8–9, where it accumulates throughout the second trimester, to finally decline around birth. Based on phenotypic, molecular, and functional criteria, we demonstrate that CD34hiCD45RAhiCD7+ cells represent the direct precursors of the most immature CD34hiCD1a− fetal thymocytes that follow a similar dynamics pattern during fetal and early postnatal development. Histological analysis of fetal thymuses further reveals that early immigrants predominantly localize in the perivascular areas of the cortex, where they form a lymphostromal complex with thymic epithelial cells (TECs) driving their rapid specification toward the T lineage. Finally, using an ex vivo xenogeneic thymus-colonization assay, we show that BM-derived CD34hiCD45RAhiCD7+ progenitors are selectively recruited into the thymus parenchyma in the absence of exogenous cytokines, where they adopt a definitive T cell fate.
Published: 2005

30. 7-Ketocholesterol favors lipid accumulation and colocalizes with Nile Red positive cytoplasmic structures formed during 7-ketocholesterol-induced apoptosis: analysis by flow cytometry, FRET biphoton spectral imaging microscopy, and subcellular fractionation

Author: Ginette Bessède, Gérard Lizard, Edmond Kahn, Anne Vejux, Jean-Marc Riedinger, Andrew Todd-Pokropek, Anne Athias, Franck Ménétrier, Frédérique Frouin, Eric Ogier-Denis, Jean-François Stoltz, Dominique Dumas, Laboratoire de Biochimie Moléculaire et Cellulaire ( LBMC ), Université de Bourgogne ( UB ), Lipides - Nutrition - Cancer (U866) ( LNC ), Université de Bourgogne ( UB ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Ecole Nationale Supérieure de Biologie Appliquée à la Nutrition et à l'Alimentation de Dijon ( ENSBANA ), Laboratoire d'Imagerie Fonctionnelle ( LIF ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Laboratoire d'Energétique et de Mécanique Théorique Appliquée ( LEMTA ), Université de Lorraine ( UL ) -Centre National de la Recherche Scientifique ( CNRS ), Plate-forme Imagerie et Biophysique Cellulaire et Tissulaire ( PTIBC-IBISA Nancy ), Université Henri Poincaré - Nancy 1 ( UHP ), Plateforme Lipidomique [Dijon] ( LAP ), Université de Bourgogne ( UB ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Ecole Nationale Supérieure de Biologie Appliquée à la Nutrition et à l'Alimentation de Dijon ( ENSBANA ) -Université de Bourgogne ( UB ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Ecole Nationale Supérieure de Biologie Appliquée à la Nutrition et à l'Alimentation de Dijon ( ENSBANA ) -IFR100 - Structure fédérative de recherche Santé-STIC-Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand ( CHU Dijon ), Laboratoire de Biologie Médicale [Centre Georges-François leclerc], Centre Régional de Lutte contre le cancer - Centre Georges-François Leclerc ( CRLCC - CGFL ), Faculté de Médecine Xavier Bichat, Laboratoire de Biochimie Moléculaire et Cellulaire (LBMC), Université de Bourgogne (UB), Lipides - Nutrition - Cancer (U866) (LNC), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Bourgogne (UB)-Ecole Nationale Supérieure de Biologie Appliquée à la Nutrition et à l'Alimentation de Dijon (ENSBANA)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire Énergies et Mécanique Théorique et Appliquée (LEMTA ), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Plate-forme Imagerie et Biophysique Cellulaire et Tissulaire (PTIBC-IBISA Nancy), Université Henri Poincaré - Nancy 1 (UHP), Plateforme Lipidomique [Dijon] (LAP), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Bourgogne (UB)-Ecole Nationale Supérieure de Biologie Appliquée à la Nutrition et à l'Alimentation de Dijon (ENSBANA)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Bourgogne (UB)-Ecole Nationale Supérieure de Biologie Appliquée à la Nutrition et à l'Alimentation de Dijon (ENSBANA)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-IFR100 - Structure fédérative de recherche Santé-STIC-Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), Centre Régional de Lutte contre le cancer Georges-François Leclerc [Dijon] (UNICANCER/CRLCC-CGFL), UNICANCER-UNICANCER, Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Ecole Nationale Supérieure de Biologie Appliquée à la Nutrition et à l'Alimentation de Dijon (ENSBANA), and Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Ecole Nationale Supérieure de Biologie Appliquée à la Nutrition et à l'Alimentation de Dijon (ENSBANA)-Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Ecole Nationale Supérieure de Biologie Appliquée à la Nutrition et à l'Alimentation de Dijon (ENSBANA)-IFR100 - Structure fédérative de recherche Santé-STIC-Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon)
Subjects: MESH: Flow Cytometry, Apoptosis, 7. Clean energy, law.invention, MESH : Phosphatidylcholines, 0302 clinical medicine, Fluorescence Resonance Energy Transfer, MESH : Fluorescent Dyes, Enzyme Inhibitors, MESH: Lipid Metabolism, 0303 health sciences, MESH : Cell Nucleus, Flow Cytometry, MESH: Image Processing, Computer-Assisted, Cholesterol, MESH : Propidium, 030220 oncology & carcinogenesis, MESH : U937 Cells, MESH: Microscopy, Electron, Transmission, MESH: Cell Fractionation, MESH : Image Processing, Computer-Assisted, MESH: Propidium, Propidium, MESH: Cell Nucleus, MESH : Sphingomyelins, MESH: Mitochondria, Cell Fractionation, Filipin, Permeability, Pathology and Forensic Medicine, 03 medical and health sciences, Microscopy, Electron, Transmission, Oxazines, MESH: Membrane Potentials, Humans, Propidium iodide, MESH: Humans, MESH : Oxazines, MESH : Humans, Nile red, MESH: Phosphatidylcholines, Lipid Metabolism, Förster resonance energy transfer, chemistry, MESH: Subcellular Fractions, Cytoplasmic Structures, Benzimidazoles, MESH : Apoptosis, MESH: Fluorescence Resonance Energy Transfer, MESH: Sphingomyelins, Membrane Potentials, chemistry.chemical_compound, MESH: Cholesterol, [ SDV.BBM.BC ] Life Sciences [q-bio]/Biochemistry, Molecular Biology/Biomolecules [q-bio.BM], law, MESH : Lipid Metabolism, Image Processing, Computer-Assisted, Fluorescence microscope, MESH : Membrane Potentials, Ketocholesterols, MESH : Cholesterol, MESH: Ketocholesterols, U937 Cells, MESH: Fluorescent Dyes, Mitochondria, Sphingomyelins, MESH: Intracellular Membranes, MESH : Microscopy, Electron, Transmission, Biochemistry, MESH : Benzimidazoles, MESH: Enzyme Inhibitors, MESH: Permeability, MESH : Cell Fractionation, Phosphatidylcholines, lipids (amino acids, peptides, and proteins), MESH : Mitochondria, Cell fractionation, Subcellular Fractions, Histology, MESH : Flow Cytometry, MESH: U937 Cells, MESH : Subcellular Fractions, Confocal microscopy, [SDV.BBM.BC]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Biochemistry [q-bio.BM], Fluorescent Dyes, 030304 developmental biology, MESH : Ketocholesterols, Cell Nucleus, MESH : Enzyme Inhibitors, MESH: Apoptosis, Lipid metabolism, Intracellular Membranes, Cell Biology, MESH : Cytoplasmic Structures, MESH: Cytoplasmic Structures, MESH : Intracellular Membranes, MESH : Permeability, MESH : Fluorescence Resonance Energy Transfer, MESH: Benzimidazoles, MESH: Oxazines
Abstract: Background Oxidized low-density lipoproteins play key roles in atherosclerosis. Their toxicity is at least in part due to 7-ketocholesterol (7KC), which is a potent inducer of apoptosis. In this study on human promonocytic U937 cells, we determined the effects and the interactions of 7KC with cellular lipids during 7KC-induced apoptosis. Methods Morphologic and functional changes were investigated by microscopic and flow cytometric methods after staining with propidium iodide, 3,3′-dihexyloxacarbocyanine iodide, and Hoechst 33342. Cellular lipid content was identified by using filipin to quantify free cholesterol and Nile Red (NR), which emit a yellow or orange-red fluorescence in the presence of neutral and polar lipids, respectively. After staining with NR, interactions of 7KC with cellular lipids were identified by fluorescence resonance energy transfer biphoton spectral imaging confocal microscopy and by subcellular fractionation, gas chromatography, and mass spectrometry. Results During 7KC-induced apoptosis the fluorescence from filipin and the ratio of measured (orange-red vs. yellow) fluorescence of NR were enhanced. Spectral analysis of images obtained in biphoton mode and resulting factor images demonstrated the occurrence of fluorescence resonance energy transfer between 7KC and NR and the subsequent colocalization of 7KC and NR. These data were in agreement with biochemical characterization and demonstrated that 7KC and neutral and polar lipids accumulate in NR-stained cytoplasmic structures. Conclusions During 7KC-induced apoptosis, 7KC modifies the cellular content of neutral and polar lipids, favors free cholesterol accumulation, and colocalizes with neutral and polar lipids that are inside NR-stained cytoplasmic structures. © 2005 Wiley-Liss, Inc.
Published: 2005

31. FRET multiphoton spectral imaging microscopy of 7-ketocholesterol and Nile Red in U937 monocytic cells loaded with 7-ketocholesterol

Author: Kahn, E., Vejux, A., Dumas, D., Montange, T., Frédérique Frouin, Robert, V., Riedinger, J. M., Stoltz, J. F., Gambert, P., Todd-Pokropek, A., Lizard, G., Laboratoire d'Imagerie Fonctionnelle ( LIF ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Laboratoire de Biochimie Moléculaire et Cellulaire ( LBMC ), Université de Bourgogne ( UB ), Lipides - Nutrition - Cancer (U866) ( LNC ), Université de Bourgogne ( UB ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Ecole Nationale Supérieure de Biologie Appliquée à la Nutrition et à l'Alimentation de Dijon ( ENSBANA ), Laboratoire d'Energétique et de Mécanique Théorique Appliquée ( LEMTA ), Université de Lorraine ( UL ) -Centre National de la Recherche Scientifique ( CNRS ), Plate-forme Imagerie et Biophysique Cellulaire et Tissulaire ( PTIBC-IBISA Nancy ), Université Henri Poincaré - Nancy 1 ( UHP ), Analysis, perception and recognition of speech ( PAROLE ), INRIA Lorraine, Institut National de Recherche en Informatique et en Automatique ( Inria ) -Institut National de Recherche en Informatique et en Automatique ( Inria ) -Laboratoire Lorrain de Recherche en Informatique et ses Applications ( LORIA ), Institut National de Recherche en Informatique et en Automatique ( Inria ) -Université Henri Poincaré - Nancy 1 ( UHP ) -Université Nancy 2-Institut National Polytechnique de Lorraine ( INPL ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Henri Poincaré - Nancy 1 ( UHP ) -Université Nancy 2-Institut National Polytechnique de Lorraine ( INPL ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire de Biologie Médicale [Centre Georges-François leclerc], Centre Régional de Lutte contre le cancer - Centre Georges-François Leclerc ( CRLCC - CGFL ), Plateforme Lipidomique [Dijon] ( LAP ), Université de Bourgogne ( UB ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Ecole Nationale Supérieure de Biologie Appliquée à la Nutrition et à l'Alimentation de Dijon ( ENSBANA ) -Université de Bourgogne ( UB ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Ecole Nationale Supérieure de Biologie Appliquée à la Nutrition et à l'Alimentation de Dijon ( ENSBANA ) -IFR100 - Structure fédérative de recherche Santé-STIC-Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand ( CHU Dijon ), Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire de Biochimie Moléculaire et Cellulaire (LBMC), Université de Bourgogne (UB), Lipides - Nutrition - Cancer (U866) (LNC), Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Ecole Nationale Supérieure de Biologie Appliquée à la Nutrition et à l'Alimentation de Dijon (ENSBANA), Laboratoire Énergies et Mécanique Théorique et Appliquée (LEMTA ), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Plate-forme Imagerie et Biophysique Cellulaire et Tissulaire (PTIBC-IBISA Nancy), Université Henri Poincaré - Nancy 1 (UHP), Analysis, perception and recognition of speech (PAROLE), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université Henri Poincaré - Nancy 1 (UHP)-Université Nancy 2-Institut National Polytechnique de Lorraine (INPL)-Centre National de la Recherche Scientifique (CNRS)-Université Henri Poincaré - Nancy 1 (UHP)-Université Nancy 2-Institut National Polytechnique de Lorraine (INPL)-Centre National de la Recherche Scientifique (CNRS), Centre Régional de Lutte contre le cancer Georges-François Leclerc [Dijon] (UNICANCER/CRLCC-CGFL), UNICANCER-UNICANCER, Plateforme Lipidomique [Dijon] (LAP), Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Ecole Nationale Supérieure de Biologie Appliquée à la Nutrition et à l'Alimentation de Dijon (ENSBANA)-Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Ecole Nationale Supérieure de Biologie Appliquée à la Nutrition et à l'Alimentation de Dijon (ENSBANA)-IFR100 - Structure fédérative de recherche Santé-STIC-Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), Dumas, Dominique, Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Bourgogne (UB)-Ecole Nationale Supérieure de Biologie Appliquée à la Nutrition et à l'Alimentation de Dijon (ENSBANA)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique de Lorraine (INPL)-Université Nancy 2-Université Henri Poincaré - Nancy 1 (UHP)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique de Lorraine (INPL)-Université Nancy 2-Université Henri Poincaré - Nancy 1 (UHP), and Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Bourgogne (UB)-Ecole Nationale Supérieure de Biologie Appliquée à la Nutrition et à l'Alimentation de Dijon (ENSBANA)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Bourgogne (UB)-Ecole Nationale Supérieure de Biologie Appliquée à la Nutrition et à l'Alimentation de Dijon (ENSBANA)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-IFR100 - Structure fédérative de recherche Santé-STIC-Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon)
Subjects: MESH: Cell Death, MESH: Fluorescence Resonance Energy Transfer, MESH: Mitochondria, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, MESH : Flow Cytometry, MESH: Flow Cytometry, MESH: U937 Cells, MESH: Monocytes, Monocytes, Membrane Potentials, MESH : Staining and Labeling, MESH : Microscopy, Fluorescence, Multiphoton, Oxazines, Fluorescence Resonance Energy Transfer, Image Processing, Computer-Assisted, Humans, MESH: Membrane Potentials, MESH: Microscopy, Confocal, MESH : Membrane Potentials, MESH : Fluorescent Dyes, MESH : Microscopy, Confocal, Ketocholesterols, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, Fluorescent Dyes, MESH : Ketocholesterols, Microscopy, Confocal, MESH: Humans, MESH : Oxazines, Cell Death, Staining and Labeling, MESH : Humans, MESH: Ketocholesterols, U937 Cells, Flow Cytometry, MESH: Fluorescent Dyes, MESH: Image Processing, Computer-Assisted, Mitochondria, MESH: Staining and Labeling, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, Microscopy, Fluorescence, Multiphoton, MESH : Monocytes, MESH : Fluorescence Resonance Energy Transfer, MESH : Cell Death, MESH : U937 Cells, MESH: Microscopy, Fluorescence, Multiphoton, MESH : Mitochondria, MESH: Oxazines, MESH : Image Processing, Computer-Assisted
Abstract: To show the effect of 7-ketocholesterol (7KC) on cellular lipid content by means of flow cytometry and the interaction of 7KC with Nile Red (NR) via ultraviolet fluorescence resonance energy transfer (FRET) excitation of NR on U937 monocytic cells by means of 2-photon excitation confocal laser scanning microscopy (CLSM).Untreated and 7KC-treated U937 cells were stained with NR and analyzed by flow cytometry and CLSM. 3D sequences of images were obtained by spectral analysis in a 2-photon excitation CLSM and analyzed by the factor analysis of medical image sequences (FAMIS) algorithm, which provides factor curves and images. Factor images are the result of the FAMIS image processing method, which handles emission spectra. In FRET analysis, preparations are screened at selected UV wavelengths to avoid emission of NR in the absence of 7KC.During 7KC-induced cell death,flow cytometry and CLSM revealed a modification of the cellular lipid content. Factor images show FRET occurrence and subsequent colocalization of 7KC and NR.This investigation established the utility of 2-photon excitation CLSM to assess colocalization of 7KC with NR by FRET and to identify and distinguish polar and neutral lipids stained by NR that accumulate from the effect of 7KC.
Published: 2004

32. Analysis of fluorescent MRI contrast agent behavior in the liver and thoracic aorta of mice

Author: Kahn, E., Lizard, G., Dumas, D., Frédérique Frouin, Menetrier, F., Stoltz, J. F., Todd-Pokropek, A., Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Lipides - Nutrition - Cancer (U866) (LNC), Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Ecole Nationale Supérieure de Biologie Appliquée à la Nutrition et à l'Alimentation de Dijon (ENSBANA), Laboratoire Énergies et Mécanique Théorique et Appliquée (LEMTA ), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Plate-forme Imagerie et Biophysique Cellulaire et Tissulaire (PTIBC-IBISA Nancy), Université Henri Poincaré - Nancy 1 (UHP), Dumas, Dominique, Laboratoire d'Imagerie Fonctionnelle ( LIF ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Lipides - Nutrition - Cancer (U866) ( LNC ), Université de Bourgogne ( UB ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Ecole Nationale Supérieure de Biologie Appliquée à la Nutrition et à l'Alimentation de Dijon ( ENSBANA ), Laboratoire d'Energétique et de Mécanique Théorique Appliquée ( LEMTA ), Université de Lorraine ( UL ) -Centre National de la Recherche Scientifique ( CNRS ), Plate-forme Imagerie et Biophysique Cellulaire et Tissulaire ( PTIBC-IBISA Nancy ), and Université Henri Poincaré - Nancy 1 ( UHP )
Subjects: [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Contrast Media, Aorta, Thoracic, Mice, MESH : Image Cytometry, MESH: Microscopy, Confocal, MESH : Female, MESH : Fluorescent Dyes, MESH: Animals, MESH : Algorithms, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, health care economics and organizations, Image Cytometry, Mice, Inbred BALB C, Microscopy, Confocal, MESH: Fluorescent Dyes, MESH: Staining and Labeling, Liver, MESH : Meglumine, Female, MESH : Organometallic Compounds, Algorithms, MESH: Aorta, Thoracic, education, MESH: Mice, Inbred BALB C, MESH: Algorithms, MESH: Meglumine, MESH : Staining and Labeling, Meglumine, MESH: Contrast Media, MESH : Mice, Organometallic Compounds, Animals, MESH : Microscopy, Confocal, MESH: Mice, MESH : Mice, Inbred BALB C, Fluorescent Dyes, MESH : Aorta, Thoracic, MESH : Contrast Media, Staining and Labeling, MESH : Liver, MESH: Organometallic Compounds, MESH : Xanthenes, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, Xanthenes, MESH: Xanthenes, MESH : Animals, MESH: Female, MESH: Image Cytometry, MESH: Liver
Abstract: To characterize the behavior of magnetofluorescent products injected in mice intravenously.The magnetic resonance imaging (MRI) products were labelled with fluorescent molecules to examine the biodistribution process in vivo and observe them at the cellular level by means of confocal microscopy. Three-dimensional (3D) sequences of images were obtained by spectral analysis of sample preparations in a multiphoton confocal microscope and analyzed by the factor analysis of medical image sequence algorithm, which provides factor curves. Factor images are the result of image-processing methods that utilize information from emission spectra. Preparations are also screened in the counting mode to provide fluorescent lifetime imaging microscopy (FLIM) characterizations.Factor images and FLIM images can help to analyze MRI targeting inside the liver and thoracic aorta of mice. They show positive detection of Fe-Texas red and BOPTA-Eu in the liver and positive detection of Fe-Texas red and negative detection of BOPTA-Eu inside the thoracic aorta.This investigation established the utility of fluorescent MRI contrast agents as in vivo staining tools for cellular sites.
Published: 2004

33. Role of the healthy hemisphere in recovery after resection of the supplementary motor area

Author: A.-L. Boch, P. Cornu, J.-F. Mangin, D. Le Bihan, Laurent Capelle, Hugues Duffau, Alexandre Krainik, Claude Marsault, Stéphane Lehéricy, Jacques Chiras, Grenoble Institut des Neurosciences (GIN), Université Joseph Fourier - Grenoble 1 (UJF)-Institut National de la Santé et de la Recherche Médicale (INSERM), Département de neuro-radiologie, Université Joseph Fourier - Grenoble 1 (UJF)-CHU Grenoble, Departement de neuroradiologie, CHU La Tronche, Hôpital Gui de Chauliac [CHU Montpellier], Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Laboratoire de la Cognition et du Comportement, Université Paris Descartes - Paris 5 (UPD5)-Centre National de la Recherche Scientifique (CNRS), Département de neurochirurgie, CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire de Neuroimagerie Assistée par Ordinateur (LNAO), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Service Hospitalier Frédéric Joliot (SHFJ), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Center for Neuroscience and Behavioral Medicine, Children's National Medical Center, Service NEUROSPIN (NEUROSPIN), IFR de Neuroimagerie Fonctionnelle (IFR 49), Human Brain Research Center [Kyoto] (HBRC), Kyoto University, Center for NeuroImaging Research-Human MRI Neuroimaging core facility for clinical research [ICM Paris] (CENIR), Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Neuro-anatomie fonctionnelle du comportement et de ses troubles, Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR70-Institut National de la Santé et de la Recherche Médicale (INSERM), Hôpital Gui de Chauliac, Université Montpellier 1 (UM1)-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Service de Neurochirurgie [CHU Pitié-Salpêtrière], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Kyoto University [Kyoto], Service de Neuroradiologie [CHU Pitié-Salpêtrière], Centre de Neuro-Imagerie de Recherche (CENIR), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU), Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR70-Université Pierre et Marie Curie - Paris 6 (UPMC), Grenoble Institut des Neurosciences ( GIN ), Institut National de la Santé et de la Recherche Médicale ( INSERM ) -CHU Grenoble-Université Joseph Fourier - Grenoble 1 ( UJF ), Université Joseph Fourier - Grenoble 1 ( UJF ) -CHU Grenoble, Université Montpellier 1 ( UM1 ) -Centre Hospitalier Régional Universitaire [Montpellier] ( CHRU Montpellier ), Université Paris Descartes - Paris 5 ( UPD5 ) -Centre National de la Recherche Scientifique ( CNRS ), Centre Hospitalier Régional Universitaire [Montpellier] ( CHRU Montpellier ), Assistance publique - Hôpitaux de Paris (AP-HP)-CHU Pitié-Salpêtrière [APHP], Laboratoire d'Imagerie Fonctionnelle ( LIF ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Department of Neurosurgery, Assistance publique - Hôpitaux de Paris (AP-HP), Laboratoire de Neuroimagerie Assistée par Ordinateur ( LNAO ), Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ), Service Hospitalier Frédéric Joliot ( SHFJ ), Direction de Recherche Fondamentale (CEA) ( DRF (CEA) ), Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Paris-Saclay, Service NEUROSPIN ( NEUROSPIN ), IFR de Neuroimagerie Fonctionnelle ( IFR 49 ), Human Brain Research Center [Kyoto] ( HBRC ), Service de neuro-radiologie [CHU Pitié-Salpêtrière], Centre de Neuro-Imagerie de Recherche ( CENIR ), Institut National de la Santé et de la Recherche Médicale ( INSERM ) -IFR70-Université Pierre et Marie Curie - Paris 6 ( UPMC ), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Grenoble-Université Joseph Fourier - Grenoble 1 (UJF), Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-CHU Pitié-Salpêtrière [APHP], and Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)
Subjects: Male, MESH : Movement, genetic structures, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, MESH : Aged, MESH: Frontal Lobe, Postoperative recovery, MESH: Movement, Functional Laterality, 030218 nuclear medicine & medical imaging, MESH: Magnetic Resonance Imaging, MESH: Glioma, 0302 clinical medicine, Parietal Lobe, MESH : Neuronal Plasticity, MESH : Female, MESH: Neuronal Plasticity, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, MESH: Aged, MESH: Parietal Lobe, Neuronal Plasticity, MESH: Middle Aged, Supplementary motor area, medicine.diagnostic_test, Brain Neoplasms, Motor Cortex, Glioma, MESH : Hand, Middle Aged, MESH : Adult, MESH : Motor Cortex, SMA, MESH: Recovery of Function, Magnetic Resonance Imaging, Frontal Lobe, medicine.anatomical_structure, MESH: Brain Neoplasms, MESH : Parietal Lobe, Cardiology, Female, Psychology, psychological phenomena and processes, Adult, MESH : Recovery of Function, medicine.medical_specialty, Movement, MESH : Male, behavioral disciplines and activities, MESH: Motor Cortex, Resection, MESH: Somatosensory Cortex, MESH: Hand, Premotor cortex, 03 medical and health sciences, MESH : Magnetic Resonance Imaging, Internal medicine, medicine, Humans, MESH : Frontal Lobe, MESH : Middle Aged, Tumor growth, MESH: Functional Laterality, MESH : Brain Neoplasms, MESH : Functional Laterality, Sensorimotor cortex, Aged, MESH: Humans, MESH : Humans, Magnetic resonance imaging, MESH: Adult, Recovery of Function, Somatosensory Cortex, Hand, MESH: Male, Surgery, MESH : Somatosensory Cortex, nervous system, MESH : Glioma, Neurology (clinical), MESH: Female, 030217 neurology & neurosurgery
Abstract: Objective: To determine the compensatory mechanisms involved in the recovery of motor function following surgical lesions of the supplementary motor area (SMA) and their relation to the clinical characteristics of recovery.Subjects and Methods: Twelve patients were referred for surgery of low-grade gliomas located in the SMA, and compared to eight healthy controls using fMRI before and after surgery during self-paced movements of both hands, successively. Magnitude and volume of activation within regions of interest (primary sensorimotor cortex, premotor cortex, SMA, preSMA, and parietal lobes) were compared and tested for correlation with anatomic characteristics of the tumor and resection, and clinical data.Results: Tumor growth induced preoperative underactivity in the adjacent SMA and overactivity in the opposite SMA. Postoperative recovery was associated with recruitment of a premotor network located in the healthy hemisphere including the SMA and the lateral premotor cortex. Postoperative premotor recruitment in the healthy hemisphere increased with the percentage of resection of preoperative SMA activation. Shortened onset and duration of recovery was associated with increased preoperative changes in activation levels.Conclusions: These findings suggest a dysfunction of the SMA ipsilateral to the tumor, partially compensated by a recruitment of the contralesional SMA which correlated with shortened postoperative recovery. SMA resection was compensated by the recruitment of a medial and lateral premotor circuitry in the healthy hemisphere.
Published: 2004

34. Postoperative speech disorder after medial frontal surgery: role of the supplementary motor area

Author: P. Cornu, Stéphane Lehéricy, Laurent Capelle, Hugues Duffau, D. Le Bihan, Anne-Laure Boch, Alexandre Krainik, J.-F. Mangin, Claude Marsault, Hanna Chainay, Laurent D. Cohen, Département de neuro-radiologie, Université Joseph Fourier - Grenoble 1 (UJF)-CHU Grenoble, Departement de neuroradiologie, CHU La Tronche, IFR de Neuroimagerie Fonctionnelle (IFR 49), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Centre de Neuro-Imagerie de Recherche (CENIR), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU), Neuro-anatomie fonctionnelle du comportement et de ses troubles, Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR70-Université Pierre et Marie Curie - Paris 6 (UPMC), Hôpital Gui de Chauliac, Université Montpellier 1 (UM1)-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Laboratoire de la Cognition et du Comportement, Université Paris Descartes - Paris 5 (UPD5)-Centre National de la Recherche Scientifique (CNRS), Département de neurochirurgie, Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Service de Neurochirurgie [CHU Pitié-Salpêtrière], CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut de biologie et chimie des protéines [Lyon] (IBCP), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Service de neurologie 1 [CHU Pitié-Salpétrière], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Laboratoire de Neuroimagerie Assistée par Ordinateur (LNAO), Service Hospitalier Frédéric Joliot (SHFJ), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Center for Neuroscience and Behavioral Medicine, Children's National Medical Center, Service NEUROSPIN (NEUROSPIN), Human Brain Research Center [Kyoto] (HBRC), Kyoto University [Kyoto], Center for NeuroImaging Research-Human MRI Neuroimaging core facility for clinical research [ICM Paris] (CENIR), Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR70-Institut National de la Santé et de la Recherche Médicale (INSERM), Hôpital Gui de Chauliac [CHU Montpellier], Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Kyoto University, Neuroimagerie Fonctionnelle et Metabolique, Université Joseph Fourier - Grenoble 1 (UJF)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre de Recherche de l'Institut du Cerveau et de la Moelle épinière (CRICM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Etude des Mécanismes Cognitifs (EMC), Université Lumière - Lyon 2 (UL2), Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-CHU Pitié-Salpêtrière [APHP], Department of Neurosurgery, Assistance publique - Hôpitaux de Paris (AP-HP) (APHP), Université Joseph Fourier - Grenoble 1 ( UJF ) -CHU Grenoble, IFR de Neuroimagerie Fonctionnelle ( IFR 49 ), Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ), Centre de Neuro-Imagerie de Recherche ( CENIR ), Assistance publique - Hôpitaux de Paris (AP-HP)-CHU Pitié-Salpêtrière [APHP], Institut National de la Santé et de la Recherche Médicale ( INSERM ) -IFR70-Université Pierre et Marie Curie - Paris 6 ( UPMC ), Université Montpellier 1 ( UM1 ) -Centre Hospitalier Régional Universitaire [Montpellier] ( CHRU Montpellier ), Université Paris Descartes - Paris 5 ( UPD5 ) -Centre National de la Recherche Scientifique ( CNRS ), Centre Hospitalier Régional Universitaire [Montpellier] ( CHRU Montpellier ), Laboratoire d'Imagerie Fonctionnelle ( LIF ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Institut de biologie et chimie des protéines [Lyon] ( IBCP ), Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique ( CNRS ), Assistance publique - Hôpitaux de Paris (AP-HP), Laboratoire de Neuroimagerie Assistée par Ordinateur ( LNAO ), Service Hospitalier Frédéric Joliot ( SHFJ ), Direction de Recherche Fondamentale (CEA) ( DRF (CEA) ), Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Paris-Saclay, Service NEUROSPIN ( NEUROSPIN ), Human Brain Research Center [Kyoto] ( HBRC ), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Service de Neurologie [CHU Pitié-Salpêtrière], IFR70-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), and Université Lumière - Lyon 2 (UL2)-Centre National de la Recherche Scientifique (CNRS)
Subjects: Male, Mutism, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, MESH: Frontal Lobe, MESH: Risk Assessment, Neurosurgical Procedures, MESH: Magnetic Resonance Imaging, MESH: Glioma, [SCCO]Cognitive science, Postoperative Complications, Reference Values, MESH: Postoperative Complications, Verbal fluency test, MESH : Neuronal Plasticity, MESH : Female, Language disorder, MESH: Neuronal Plasticity, MESH : Risk Assessment, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, ComputingMilieux_MISCELLANEOUS, Neuronal Plasticity, MESH: Middle Aged, MESH : Speech Disorders, Supplementary motor area, Brain Neoplasms, MESH: Reference Values, Glioma, Middle Aged, MESH : Adult, MESH : Neurosurgical Procedures, SMA, Magnetic Resonance Imaging, Frontal Lobe, medicine.anatomical_structure, Frontal lobe, [SCCO.PSYC]Cognitive science/Psychology, MESH: Brain Neoplasms, Female, medicine.symptom, Psychology, MESH: Mutism, Adult, medicine.medical_specialty, MESH: Speech Disorders, MESH : Male, MESH : Dominance, Cerebral, MESH : Reference Values, Risk Assessment, behavioral disciplines and activities, Speech Disorders, Central nervous system disease, Communication disorder, MESH : Magnetic Resonance Imaging, medicine, Humans, MESH : Frontal Lobe, MESH : Middle Aged, MESH : Mutism, Dominance, Cerebral, MESH : Brain Neoplasms, MESH: Humans, [SCCO.NEUR]Cognitive science/Neuroscience, MESH : Humans, MESH: Adult, MESH: Neurosurgical Procedures, MESH: Dominance, Cerebral, medicine.disease, MESH: Male, Surgery, MESH : Glioma, Speech disorder, MESH : Postoperative Complications, Neurology (clinical), MESH: Female
Abstract: Background: Patients undergoing surgical resection of medial frontal lesions may present transient postoperative speech disorders that remain largely unpredictable.Objective: To relate the occurrence of this speech deficit to the specific surgical lesion of the supplementary motor area (SMA) involved during language tasks using fMRI.Methods: Twelve patients were studied using a verbal fluency task before resection of a low-grade glioma of the medial frontal lobe and compared with six healthy subjects. Pre- and postoperative MR variables including the hemispheric dominance for language, the extent of SMA removal, and the volume of resection were compared to the clinical outcome.Results: Following surgery, 6 of 12 patients presented speech disorders. The deficit was similar across patients, consisting of a global reduction in spontaneous speech, ranging from a complete mutism to a less severe speech reduction, which recovered within a few weeks or months. The occurrence of the deficit was related to the resection of the activation in the SMA of the dominant hemisphere for language (p < 0.01). Increased activation in the SMA of the healthy hemisphere on the preoperative fMRI was observed in patients with postoperative speech deficit.Conclusions: fMRI is able to identify the area at risk in the SMA, of which resection is related to the occurrence of characteristic transient postoperative speech disorders. Increased SMA activation in the healthy hemisphere suggested that a plastic change of SMA function occurred in these patients.
Published: 2003

35. Role of the supplementary motor area in motor deficit following medial frontal lobe surgery

Author: Anne-Laure Boch, Laurent Capelle, Hugues Duffau, Stéphane Lehéricy, Claude Marsault, Charles-Ambroise Valery, Michaela Vlaicu, P. Cornu, J.-F. Mangin, D. Le Bihan, Alexandre Krainik, Fabrice Poupon, M. Sahel, Stéphane Clemenceau, Grenoble Institut des Neurosciences (GIN), Université Joseph Fourier - Grenoble 1 (UJF)-Institut National de la Santé et de la Recherche Médicale (INSERM), Département de neuro-radiologie, Université Joseph Fourier - Grenoble 1 (UJF)-CHU Grenoble, Departement de neuroradiologie, CHU La Tronche, IFR de Neuroimagerie Fonctionnelle (IFR 49), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Centre de Neuro-Imagerie de Recherche (CENIR), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU), Neuro-anatomie fonctionnelle du comportement et de ses troubles, Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR70-Université Pierre et Marie Curie - Paris 6 (UPMC), Hôpital Gui de Chauliac, Université Montpellier 1 (UM1)-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Laboratoire de la Cognition et du Comportement, Université Paris Descartes - Paris 5 (UPD5)-Centre National de la Recherche Scientifique (CNRS), Département de neurochirurgie, Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Cités, Territoires, Environnement et Sociétés (CITERES), Centre National de la Recherche Scientifique (CNRS)-Université de Tours, Service de Neurochirurgie [CHU Pitié-Salpêtrière], CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Cortex et Epilepsie [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Laboratoire de Neuroimagerie Assistée par Ordinateur (LNAO), Service Hospitalier Frédéric Joliot (SHFJ), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Center for Neuroscience and Behavioral Medicine, Children's National Medical Center, Service NEUROSPIN (NEUROSPIN), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR70-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre National de la Recherche Scientifique (CNRS)-Université de Tours (UT), Grenoble Institut des Neurosciences ( GIN ), Institut National de la Santé et de la Recherche Médicale ( INSERM ) -CHU Grenoble-Université Joseph Fourier - Grenoble 1 ( UJF ), Université Joseph Fourier - Grenoble 1 ( UJF ) -CHU Grenoble, IFR de Neuroimagerie Fonctionnelle ( IFR 49 ), Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ), Centre de Neuro-Imagerie de Recherche ( CENIR ), Assistance publique - Hôpitaux de Paris (AP-HP)-CHU Pitié-Salpêtrière [APHP], Institut National de la Santé et de la Recherche Médicale ( INSERM ) -IFR70-Université Pierre et Marie Curie - Paris 6 ( UPMC ), Université Montpellier 1 ( UM1 ) -Centre Hospitalier Régional Universitaire [Montpellier] ( CHRU Montpellier ), Université Paris Descartes - Paris 5 ( UPD5 ) -Centre National de la Recherche Scientifique ( CNRS ), Centre Hospitalier Régional Universitaire [Montpellier] ( CHRU Montpellier ), Cités, Territoires, Environnement et Sociétés ( CITERES ), Université de Tours-Centre National de la Recherche Scientifique ( CNRS ), Laboratoire d'Imagerie Fonctionnelle ( LIF ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -CHU Pitié-Salpêtrière [APHP], Department of Neurosurgery, Assistance publique - Hôpitaux de Paris (AP-HP), Laboratoire de Neuroimagerie Assistée par Ordinateur ( LNAO ), Service Hospitalier Frédéric Joliot ( SHFJ ), Direction de Recherche Fondamentale (CEA) ( DRF (CEA) ), Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Paris-Saclay, Service NEUROSPIN ( NEUROSPIN ), Center for NeuroImaging Research-Human MRI Neuroimaging core facility for clinical research [ICM Paris] (CENIR), Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Hôpital Gui de Chauliac [CHU Montpellier], Université de Tours (UT)-Centre National de la Recherche Scientifique (CNRS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Grenoble-Université Joseph Fourier - Grenoble 1 (UJF), Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-CHU Pitié-Salpêtrière [APHP], Université de Tours-Centre National de la Recherche Scientifique (CNRS), CHU Pitié-Salpêtrière [APHP]-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC), and Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)
Subjects: Male, MESH : Retrospective Studies, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, MESH : Aged, MESH: Frontal Lobe, Neurological disorder, 030218 nuclear medicine & medical imaging, MESH: Magnetic Resonance Imaging, Postoperative Complications, 0302 clinical medicine, MESH: Postoperative Complications, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, MESH: Aged, MESH: Middle Aged, Supplementary motor area, medicine.diagnostic_test, Brain Neoplasms, Motor Cortex, MESH : Adult, MESH : Motor Cortex, Middle Aged, SMA, Magnetic Resonance Imaging, Frontal Lobe, Motor Skills Disorders, medicine.anatomical_structure, Frontal lobe, MESH : Motor Skills Disorders, MESH: Brain Neoplasms, Psychology, MESH: Motor Skills Disorders, Adult, medicine.medical_specialty, Spontaneous movements, MESH : Male, MESH: Motor Cortex, 03 medical and health sciences, MESH : Magnetic Resonance Imaging, medicine, MESH : Frontal Lobe, Humans, MESH : Middle Aged, MESH : Brain Neoplasms, Aged, Retrospective Studies, MESH: Humans, MESH : Humans, Magnetic resonance imaging, Retrospective cohort study, MESH: Adult, MESH: Retrospective Studies, medicine.disease, MESH: Male, Surgery, MESH : Postoperative Complications, Neurology (clinical), Motor Deficit, 030217 neurology & neurosurgery
Abstract: International audience; OBJECTIVE: Patients undergoing surgical resection of medial frontal lesions may present a transient postoperative deficit that remains largely unpredictable. The authors studied the role of the supplementary motor area (SMA) in the occurrence of this deficit using fMRI. METHODS: Twenty-three patients underwent a preoperative fMRI before resection of medial frontal lesions. Tasks included self-paced flexion/extension of the left and right hand, successively. Preoperative fMRI data were compared with postoperative MRI data and with neurologic outcome. RESULTS: Following surgery, 11 patients had a motor deficit from which all patients recovered within a few weeks or months. The deficit was similar across patients, consisting of a global reduction in spontaneous movements contralateral to the operated side with variable severity. SMA activation was observed in all patients. The deficit was observed when the area activated in the posterior part of the SMA (SMA proper) was resected. CONCLUSIONS: fMRI is able to identify the area at risk in the SMA proper whose resection is highly related to the occurrence of the motor deficit. The clinical characteristics of this deficit support the role of the SMA proper in the initiation and execution of the movement.
Published: 2001

36. Deep structural brain lesions associated with consciousness impairment early after hemorrhagic stroke

Author: Kay C. Igwe, Batool Rizvi, Adu Matory, Jan Claassen, Sachin Agarwal, Alexandra S. Reynolds, Gen Li, Christine Mauro, Angela Velasquez, Sander Connolly, David Roh, Andrey Eliseyev, Adam M. Brickman, Benjamin Rohaut, Soojin Park, Vincent Perlbarg, Murad Megjhani, Caroline Couch, Kevin Doyle, Institut National de la Santé et de la Recherche Médicale (INSERM), Centre National de la Recherche Scientifique (CNRS), Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Columbia University [New York], Shanghai NCH Nanbao Biotechnology Corporation Ltd, Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [APHP]-Centre National de la Recherche Scientifique (CNRS), Université Pierre et Marie Curie - Paris 6 - UFR de Médecine Pierre et Marie Curie (UPMC), Université Pierre et Marie Curie - Paris 6 (UPMC), Laboratoire d'Imagerie Biomédicale (LIB), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), and Gestionnaire, Hal Sorbonne Université
Subjects: Male, 0301 basic medicine, Caudate nucleus, lcsh:Medicine, Cohort Studies, Level of consciousness, 0302 clinical medicine, Tegmentum, Medicine, 030212 general & internal medicine, lcsh:Science, ComputingMilieux_MISCELLANEOUS, media_common, Multidisciplinary, medicine.diagnostic_test, [SDV.NEU.PC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior, Brain, [SDV.NEU.SC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences, Confounding Factors, Epidemiologic, Middle Aged, Magnetic Resonance Imaging, Stroke, Intensive Care Units, Treatment Outcome, Anesthesia, Brain lesions, Female, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], medicine.symptom, Consciousness, media_common.quotation_subject, Article, Lesion, Midbrain, 03 medical and health sciences, Midline shift, Humans, [SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Aged, Cerebral Hemorrhage, Intracerebral hemorrhage, business.industry, [SCCO.NEUR]Cognitive science/Neuroscience, [SCCO.NEUR] Cognitive science/Neuroscience, lcsh:R, Magnetic resonance imaging, Bleed, medicine.disease, 030104 developmental biology, lcsh:Q, business, 030217 neurology & neurosurgery
Abstract: BackgroundThe significance of deep structural lesions on level of consciousness early after intracerebral haemorrhage (ICH) is largely unknown.MethodsWe studied a consecutive series of patients with spontaneous ICH that underwent MRI within 7 days of the bleed. We assessed consciousness by testing for command following from time of MRI to hospital discharge, and determined 3-months functional outcomes using the Glasgow Outcome Scale-Extended (GOS-E). ICH and oedema volumes, intraventricular haemorrhage (IVH), and midline shift (MLS) were quantified. Presence of blood and oedema in deep brain regions previously implicated in consciousness were assessed. A machine learning approach using logistic regression with elastic net regularization was applied to identify parameters that best predicted consciousness at discharge controlling for confounders.ResultsFrom 158 ICH patients that underwent MRI, 66% (N=105) were conscious and 34% (N=53) unconscious at the time of MRI. Almost half of unconscious patients (49%, N= 26) recovered consciousness by ICU discharge. Focal lesions within subcortical structures predicted persistent impairment of consciousness at discharge together with MLS, IVH, and ICH and oedema volumes (AUC 0.74; 95%-CI 0.73-0.75). Caudate nucleus, midbrain peduncle, and pontine tegmentum were implicated as critical structures. Unconscious patients predicted to recover consciousness had better 3-month functional outcomes than those predicted to remain unconscious (35% vs 0% GOS-E ≥4; p-value=0.02).ConclusionMRI lesions within key subcortical structures together with measures reflecting the mass effect of the haemorrhage (lesion volumes, IVH, MLS) obtained within one week of ICH can help predict early recovery of consciousness and 3-month functional outcome.
Published: 2019

37. A downsampling strategy to assess the predictive value of radiomic features

Author: Irène Buvat, Frédérique Frouin, Anne-Sophie Dirand, Département de radiothérapie [Gustave Roussy], Institut Gustave Roussy (IGR), Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Imagerie Moléculaire in Vivo (IMIV - U1023 - ERL9218), Service Hospitalier Frédéric Joliot (SHFJ), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), and Buvat, Irène
Subjects: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Multivariate statistics, Mathematics and computing, Computer science, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Youden's J statistic, lcsh:Medicine, FOS: Physical sciences, Predictive markers, Quantitative Biology - Quantitative Methods, Article, 030218 nuclear medicine & medical imaging, Task (project management), [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], Upsampling, 03 medical and health sciences, 0302 clinical medicine, Text mining, FOS: Electrical engineering, electronic engineering, information engineering, lcsh:Science, Quantitative Methods (q-bio.QM), ComputingMilieux_MISCELLANEOUS, Multidisciplinary, Receiver operating characteristic, business.industry, lcsh:R, Image and Video Processing (eess.IV), Univariate, Pattern recognition, Electrical Engineering and Systems Science - Image and Video Processing, Predictive value, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, Physics - Data Analysis, Statistics and Probability, 030220 oncology & carcinogenesis, FOS: Biological sciences, lcsh:Q, Artificial intelligence, business, Data Analysis, Statistics and Probability (physics.data-an)
Abstract: Many studies are devoted to the design of radiomic models for a prediction task. When no effective model is found, it is often difficult to know whether the radiomic features do not include information relevant to the task or because of insufficient data. We propose a downsampling method to answer that question when considering a classification task into two groups. Using two large patient cohorts, several experimental configurations involving different numbers of patients were created. Univariate or multivariate radiomic models were designed from each configuration. Their performance as reflected by the Youden index (YI) and Area Under the receiver operating characteristic Curve (AUC) was compared to the stable performance obtained with the highest number of patients. A downsampling method is described to predict the YI and AUC achievable with a large number of patients. Using the multivariate models involving machine learning, YI and AUC increased with the number of patients while they decreased for univariate models. The downsampling method better estimated YI and AUC obtained with the largest number of patients than the YI and AUC obtained using the number of available patients and identifies the lack of information relevant to the classification task when no such information exists.
Published: 2019

38. Long-term cardiovascular disorders in the STOX1 mouse model of preeclampsia

Author: Hélène Collinot, Aurélien Ducat, Céline Bertholle, Gilles Renault, Sébastien Jacques, Francisco Miralles, Carmen Marchiol, Muriel Andrieu, Céline Méhats, Isabelle Lagoutte, Daniel Vaiman, Angéline Duché, Yasmine Boumerdassi, Institut Cochin (IC UM3 (UMR 8104 / U1016)), Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Department of Obstetrics and Gynecology [Stanford], Stanford Medicine, Stanford University-Stanford University, Génomique et épigénétique des pathologies placentaires (Inserm U709), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Descartes - Paris 5 (UPD5), Division of Reproductive Biology, Stanford University [Stanford], and Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)
Subjects: 0301 basic medicine, medicine.medical_specialty, Transcription, Genetic, [SDV]Life Sciences [q-bio], lcsh:Medicine, Inflammation, Article, Muscle hypertrophy, Preeclampsia, 03 medical and health sciences, 0302 clinical medicine, Pre-Eclampsia, Fibrosis, Pregnancy, Internal medicine, medicine, Animals, CXCL11, lcsh:Science, Interleukin 6, ComputingMilieux_MISCELLANEOUS, CXCL16, Multidisciplinary, medicine.diagnostic_test, biology, business.industry, Myocardium, lcsh:R, Body Weight, Cardiac stress test, Endothelial Cells, [SDV.BDLR]Life Sciences [q-bio]/Reproductive Biology, Organ Size, medicine.disease, Cardiac hypertrophy, Disease Models, Animal, 030104 developmental biology, Endocrinology, Gene Expression Regulation, Cardiovascular Diseases, biology.protein, Cytokines, lcsh:Q, Female, medicine.symptom, business, Carrier Proteins, 030217 neurology & neurosurgery
Abstract: Adverse long-term cardiovascular (CV) consequences of PE are well established in women. However, the mechanism responsible for that risk remains unknown. Here, we mated wild-type female mice of the FVB/N strain to STOX1A-overexpressing mice to mimic severe PE and investigated the long-term consequences on the maternal cardiovascular system. Ultrasonography parameters were analyzed in mice before pregnancy and at 3 and 6 months post-pregnancy. At 6 months post-pregnancy, cardiac stress test induced by dobutamine injection revealed an abnormal ultrasonography Doppler profile in mice with previous PE. Eight months post-pregnancy, the heart, endothelial cells (ECs) and plasma of females were analyzed and compared to controls. The heart of mice with PE showed left-ventricular hypertrophy associated with altered histology (fibrosis). Transcriptomic analysis revealed the deregulation of 1149 genes in purified ECs and of 165 genes in the hearts, many being involved in heart hypertrophy. In ECs, the upregulated genes were associated with inflammation and cellular stress. Systems biology analysis identified interleukin 6 (IL-6) as a hub gene connecting these pathways. Plasma profiling of 33 cytokines showed that, 8 of them (Cxcl13, Cxcl16, Cxcl11, IL-16, IL-10, IL-2, IL-4 and Ccl1) allowed to discriminate mice with previous PE from controls. Thus, PE triggers female long-term CV consequences on the STOX1 mouse model.
Published: 2019

39. The concomitant loss of APC and HNF 4α in adult hepatocytes does not contribute to hepatocarcinogenesis driven by β‐catenin activation

Author: Cécile Godard, Laura Bachelot, Christine Perret, Frank J. Gonzalez, Franck Lager, Gilles Renault, Angélique Gougelet, Chiara Sartor, Sabine Colnot, Institut Cochin (IC UM3 (UMR 8104 / U1016)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Descartes - Paris 5 (UPD5)-Centre National de la Recherche Scientifique (CNRS), Institut de Génétique et Développement de Rennes (IGDR), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre de Recherche des Cordeliers (CRC (UMR_S_1138 / U1138)), École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université de Paris (UP), WNT‐METABOLIV, Agence Nationale de la Recherche, Labellisation, Ligue Contre le Cancer, Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), and GOUGELET, Angélique
Subjects: Male, Epithelial-Mesenchymal Transition, Carcinogenesis, Bone Morphogenetic Protein 7, [SDV]Life Sciences [q-bio], Adenomatous Polyposis Coli Protein, Context (language use), Article, 03 medical and health sciences, Mice, 0302 clinical medicine, Transforming Growth Factor beta, Cell Line, Tumor, medicine, Animals, Humans, HNF4α, beta Catenin, ComputingMilieux_MISCELLANEOUS, portal triad disorganization, Hepatology, business.industry, Liver Neoplasms, Cell Differentiation, hepatocellular carcinoma, HCCS, β-catenin, medicine.disease, Phenotype, Bone morphogenetic protein 7, [SDV] Life Sciences [q-bio], medicine.anatomical_structure, Hepatocyte Nuclear Factor 4, 030220 oncology & carcinogenesis, Hepatocyte, Catenin, Hepatocellular carcinoma, Cancer research, Hepatocytes, 030211 gastroenterology & hepatology, business, Homeostasis, Signal Transduction
Abstract: BACKGROUND & AIMS: Loss of hepatocyte nuclear factor-4α (HNF4α), a critical factor driving liver development and differentiation, is frequently associated with hepatocellular carcinoma (HCC). Our recent data revealed that HNF4α level was decreased in mouse and human HCCs with activated β-catenin signalling. In addition, increasing HNF4α level by miR-34a inhibition slowed tumour progression of β-catenin-activated HCC in mice. METHODS: We generated a Hnf4a(flox/flox/)Apc(flox/flox)/TTR-Cre(ERT2) (Hnf4a/Apc(ΔHep)) mouse line and evaluated the impact of Hnf4a disruption on HCC development and liver homoeostasis. RESULTS: There was no significant impact of Hnf4a disruption on tumour onset and progression in Apc(ΔHep) model. However, we observed an unexpected phenotype in 28% of Hnf4a(ΔHep) mice maintained in a conventional animal facility, which presented disorganized portal triads, characterized by stenosis of the portal vein and increased number and size of hepatic arteries and bile ducts. These abnormal portal structures resemble the human idiopathic non-cirrhotic portal hypertension syndrome. We correlated the presence of portal remodelling with a higher expression of protein and mRNA levels of TGFβ and BMP7, a key regulator of the TGFβ-dependent endothelial-to-mesenchymal transition. CONCLUSION: These data demonstrate that HNF4α does not play a major role during β-catenin-driven HCC, thus revealing that the tumour suppressor role of HNF4α is far more complex and dependent probably on its temporal expression and tumour context. However, HNF4α loss in adult hepatocytes could induce abnormal portal structures resembling the human idiopathic non-cirrhotic portal hypertension syndrome, which may result from endothelial- and epithelial-to-mesenchymal transitions.
Published: 2019

40. A Postreconstruction Harmonization Method for Multicenter Radiomic Studies in PET

Author: Vincent Frouin, Sarah Boughdad, Michael Soussan, Christophe Nioche, Laurence Champion, Fanny Orlhac, Hugo Stalla-Bourdillon, Irène Buvat, Frédérique Frouin, Cathy Philippe, Imagerie Moléculaire in Vivo (IMIV - U1023 - ERL9218), Service Hospitalier Frédéric Joliot (SHFJ), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Service NEUROSPIN (NEUROSPIN), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire d'Exploration Fonctionnelle des Génomes (LEFG), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7), Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, and Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Université Paris-Sud - Paris 11 (UP11)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)
Subjects: Genomic data, Breast Neoplasms, Lesion volume, [SDV.IB.MN]Life Sciences [q-bio]/Bioengineering/Nuclear medicine, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Positron Emission Tomography Computed Tomography, Liver tissue, Image Processing, Computer-Assisted, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Humans, Medicine, Radiology, Nuclear Medicine and imaging, ComputingMilieux_MISCELLANEOUS, medicine.diagnostic_test, business.industry, External validation, Middle Aged, Primary lesion, humanities, 3. Good health, Liver, Feature (computer vision), 030220 oncology & carcinogenesis, Female, Tomography, business, Nuclear medicine, [STAT.ME]Statistics [stat]/Methodology [stat.ME], Emission computed tomography
Abstract: Several reports have shown that radiomic features are affected by acquisition and reconstruction parameters, thus hampering multicenter studies. We propose a method that, by removing the center effect while preserving patient-specific effects, standardizes features measured from PET images obtained using different imaging protocols. Methods: Pretreatment 18F-FDG PET images of patients with breast cancer were included. In one nuclear medicine department (department A), 63 patients were scanned on a time-of-flight PET/CT scanner, and 16 lesions were triple-negative (TN). In another nuclear medicine department (department B), 74 patients underwent PET/CT on a different brand of scanner and a different reconstruction protocol, and 15 lesions were TN. The images from department A were smoothed using a gaussian filter to mimic data from a third department (department A-S). The primary lesion was segmented to obtain a lesion volume of interest (VOI), and a spheric VOI was set in healthy liver tissue. Three SUVs and 6 textural features were computed in all VOIs. A harmonization method initially described for genomic data was used to estimate the department effect based on the observed feature values. Feature distributions in each department were compared before and after harmonization. Results: In healthy liver tissue, the distributions significantly differed for 4 of 9 features between departments A and B and for 6 of 9 between departments A and A-S (P 0.1). The same trend was observed in lesions, with a realignment of feature distributions between the departments after harmonization. Identification of TN lesions was largely enhanced after harmonization when the cutoffs were determined on data from one department and applied to data from the other department. Conclusion: The proposed harmonization method is efficient at removing the multicenter effect for textural features and SUVs. The method is easy to use, retains biologic variations not related to a center effect, and does not require any feature recalculation. Such harmonization allows for multicenter studies and for external validation of radiomic models or cutoffs and should facilitate the use of radiomic models in clinical practice.
Published: 2018

41. Use of brain diffusion tensor imaging for the prediction of long-term neurological outcomes in patients after cardiac arrest: a multicentre, international, prospective, observational, cohort study

Author: Velly, Lionel, Perlbarg, Vincent, Boulier, Thomas, Adam, Nicolas, Delphine, Sebastien, Luyt, Charles-Edouard, Battisti, Valentine, Torkomian, Gregory, Arbelot, Charlotte, Chabanne, Russell, Jean, Betty, Di Perri, Carol, Laureys, Steven, Citerio, Giuseppe, Vargiolu, Alessia, Rohaut, Benjamin, Bruder, Nicolas, Girard, Nadine, Silva, Stein, Cottenceau, Vincent, Tourdias, Thomas, Coulon, Olivier, Riou, Bruno, Naccache, Lionel, Gupta, Rajiv, Benali, Habib, Galanaud, Damien, Puybasset, Louis, Constantin, Jean, Chastre, Jean, Amour, Julien, Vezinet, Corine, Rouby, Jean-Jacques, Raux, Mathieu, Langeron, Olivier, Degos, Vincent, Bolgert, Francis, Weiss, Nicolas, Similowski, Thomas, Demoule, Alexandre, Duguet, Alexandre, Tollard, Eléonore, Veber, Benoit, Lotterie, Jean-Albert, Sanchez-Pena, Paola, Genestal, Michèle, Patassini, Mirko, Meng, Delphine, Md, Galanaud, Meng, Torkomian, Adam, N, Institut de Neurosciences de la Timone (INT), Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), Laboratoire d'Imagerie Biomédicale (LIB), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [APHP]-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), CHU Pitié-Salpêtrière [APHP], CHU Clermont-Ferrand, Coma Science Group [Liege], Université de Liège, Neurointensive Care Unit, Ospedale S. Gerardo, Bicocca (University of Milan), Università degli Studi di Milano-Bicocca [Milano] (UNIMIB), Hôpital de la Timone [CHU - APHM] (TIMONE), Département d'Anesthésie-Réanimation [Toulouse], Hôpital Purpan [Toulouse], CHU Toulouse [Toulouse]-CHU Toulouse [Toulouse], Service de Réanimation Médicale [CHU Bordeaux], CHU Bordeaux [Bordeaux]-Hôpital Pellegrin, Neuroinflammation: imagerie et thérapie de la sclérose en plaques, Université Bordeaux Segalen - Bordeaux 2-Institut National de la Santé et de la Recherche Médicale (INSERM), Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Institute of cardiometabolism and nutrition (ICAN), Université Pierre et Marie Curie - Paris 6 (UPMC)-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [APHP], Massachusetts General Hospital [Boston], Imagerie médicale et quantitative, Institut National de la Santé et de la Recherche Médicale (INSERM), Velly, L, Perlbarg, V, Boulier, T, Adam, N, Delphine, S, Luyt, C, Battisti, V, Torkomian, G, Arbelot, C, Chabanne, R, Jean, B, Di Perri, C, Laureys, S, Citerio, G, Vargiolu, A, Rohaut, B, Bruder, N, Girard, N, Silva, S, Cottenceau, V, Tourdias, T, Coulon, O, Riou, B, Naccache, L, Gupta, R, Benali, H, Galanaud, D, Puybasset, L, Constantin, J, Chastre, J, Amour, J, Vezinet, C, Rouby, J, Raux, M, Langeron, O, Degos, V, Bolgert, F, Weiss, N, Similowski, T, Demoule, A, Duguet, A, Tollard, E, Veber, B, Lotterie, J, Sanchez Pena, P, Génestal, M, Patassini, M, Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Université Pierre et Marie Curie - Paris 6 (UPMC)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance Publique - Hôpitaux de Marseille (APHM), Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Département de Mathématiques et Applications - ENS Paris (DMA), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA), Troubles du comportement alimentaire de l'adolescent (UMR_S 669), Université Paris-Sud - Paris 11 (UP11)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), Dept. of Neurological and Behavioural Sciences, Siena, Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Centre National de la Recherche Scientifique (CNRS), Réanimation Polyvalente, Service d’Anesthésie Réanimation, Service d'Anesthésie et de Réanimation 1, CHU Bordeaux [Bordeaux]-Groupe hospitalier Pellegrin, Laboratoire d'Anesthésiologie, Université Pierre et Marie Curie - Paris 6 (UPMC), Centre de Recherche de l'Institut du Cerveau et de la Moelle épinière (CRICM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Inter-University Centre for Astronomy and Astrophysics [Pune] (IUCAA), Service de Neuroradiologie [CHU Pitié-Salpêtrière], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Neuropsycho-pharmacologie expérimentale, Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS), Institut de cardiologie [CHU Pitié-Salpêtrière], Service de Cardiologie [CHU Pitié-Salpêtrière], Neurophysiologie Respiratoire Expérimentale et Clinique, Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Neuroprotection du Cerveau en Développement / Promoting Research Oriented Towards Early Cns Therapies (PROTECT), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Robert Debré-Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de Neurologie [CHU Pitié-Salpêtrière], IFR70-CHU Pitié-Salpêtrière [AP-HP], Université Nice Sophia Antipolis - Faculté de Médecine (UNS UFR Médecine), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA), Service de Pneumologie et Réanimation Médicale [CHU Pitié-Salpêtrière] (Département ' R3S '), Service d'imagerie médicale [CHU Rouen], Hôpital Charles Nicolle [Rouen]-CHU Rouen, Normandie Université (NU)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU), Service de réanimation médicale [CHU Rouen], Toulouse Neuro Imaging Center (ToNIC), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de Réanimation, CHU Toulouse [Toulouse]-CHU Purpan, Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Research Unit on Cardiovascular and Metabolic Diseases (ICAN), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Pôle Anesthésie Réanimation [CHU de Toulouse], Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Laboratoire d'Imagerie Biomédicale [Paris] (LIB), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Hôpital Charles Nicolle [Rouen], CHU Rouen, Normandie Université (NU)-Normandie Université (NU)-CHU Rouen, Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Toulouse Mind & Brain Institut (TMBI), Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT), École normale supérieure - Paris (ENS Paris), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC), Centre National de la Recherche Scientifique (CNRS)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Pitié-Salpêtrière [AP-HP], Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC), Université Nice Sophia Antipolis (... - 2019) (UNS), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Hôpital Purpan [Toulouse], Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), and Service de neurologie 1 [CHU Pitié-Salpétrière]
Subjects: Adult, Pediatrics, medicine.medical_specialty, [SDV]Life Sciences [q-bio], Sensitivity and Specificity, 03 medical and health sciences, 0302 clinical medicine, Belgium, Predictive Value of Tests, Fractional anisotropy, medicine, Humans, Prospective Studies, Prospective cohort study, ComputingMilieux_MISCELLANEOUS, Aged, Receiver operating characteristic, medicine.diagnostic_test, [SDV.NEU.PC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior, business.industry, [SCCO.NEUR]Cognitive science/Neuroscience, Brain, [SDV.NEU.SC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences, Electroencephalography, 030208 emergency & critical care medicine, Magnetic resonance imaging, Middle Aged, Prognosis, Magnetic Resonance Imaging, Heart Arrest, Cardiac arrest, MRI, Diffusion Tensor Imaging, Treatment Outcome, Italy, Predictive value of tests, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Female, Observational study, France, Neurology (clinical), Nervous System Diseases, business, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology, 030217 neurology & neurosurgery, Diffusion MRI, Cohort study
Abstract: Summary Background Prediction of neurological outcome after cardiac arrest is a major challenge. The aim of this study was to assess whether quantitative whole-brain white matter fractional anisotropy (WWM-FA) measured by diffusion tensor imaging between day 7 and day 28 after cardiac arrest can predict long-term neurological outcome. Methods This prospective, observational, cohort study (part of the MRI-COMA study) was done in 14 centres in France, Italy, and Belgium. We enrolled patients aged 18 years or older who had been unconscious for at least 7 days after cardiac arrest into the derivation cohort. The following year, we recruited the validation cohort on the same basis. We also recruited a minimum of five healthy volunteers at each centre for the normalisation procedure. WWM-FA values were compared with standard criteria for unfavourable outcome, conventional MRI sequences (fluid-attenuated inversion recovery and diffusion-weighted imaging), and proton magnetic resonance spectroscopy. The primary outcome was the best achieved Glasgow-Pittsburgh Cerebral Performance Categories (CPC) at 6 months, dichotomised as favourable (CPC 1–2) and unfavourable outcome (CPC 3–5). Prognostication performance was assessed by the area under the receiver operating characteristic (ROC) curves and compared between groups. This study was registered with ClinicalTrials.gov, number NCT00577954. Findings Between Oct 1, 2006, and June 30, 2014, 185 patients were enrolled in the derivation cohort, of whom 150 had an interpretable multimodal MRI and were included in the analysis. 33 (22%) patients had a favourable neurological outcome at 6 months. Prognostic accuracy, as quantified by the area under the ROC curve, was significantly higher with the normalised WWM-FA value (area under the ROC curve 0·95, 95% CI 0·91–0·98) than with the standard criteria for unfavourable outcome or other MRI sequences. In a subsequent validation cohort of 50 patients (enrolled between April 1, 2015, and March 31, 2016), a normalised WWM-FA value lower than 0·91, set from the derivation cohort, had a negative predictive value of 71·4% (95% CI 41·9–91·6) and a positive predictive value of 100% (90·0–100), with 89·7% sensitivity (75·8–97·1) and 100% specificity (69·1–100) for the prediction of unfavourable outcome. Interpretation In patients who are unconscious 7 days after cardiac arrest, the normalised WWM-FA value, measured by diffusion tensor imaging, could be used to accurately predict neurological outcome at 6 months. This evidence requires confirmation from future large-scale trials with a strict protocol of withdrawal or limitation-of-care decisions and time window for MRI. Funding French Ministry of Health, French National Agency for Research, Italian Ministry of Health, and Regione Lombardia.
Published: 2018

42. Anodal tDCS over the primary motor cortex improves motor imagery benefits on postural control: A pilot study

Author: Saimpont, Arnaud, Mercier, Catherine, Malouin, Francine, Guillot, Aymeric, Collet, Christian, Doyon, Julien, Jackson, Philip, Thut, Gregor, Saruco, Elodie, Di Rienzo, Franck, Nunez-Nagy, Susana, Rubio-Gonzalez, Miguel, Centre Interdisciplinaire de Recherche en Réadaptation et Intégration Sociale (CIRRIS), Université Laval [Québec] (ULaval), Institut Universitaire de France (IUF), Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.), Laboratoire Interuniversitaire de Biologie de la Motricité (LIBM ), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Department of Psychology, and University of Glasgow
Subjects: [SCCO.NEUR]Cognitive science/Neuroscience, ComputingMilieux_MISCELLANEOUS
Abstract: International audience
Published: 2017

43. Safety and Accuracy of 64-Slice Computed Tomography Coronary Angiography in Children After the Arterial Switch Operation for Transposition of the Great Arteries

Author: David S. Celermajer, Pascal Vouhé, Phalla Ou, Jean Christophe Thalabard, Damien Bonnet, Kim-Hanh Le Quan Sang, Daniel Sidi, Davide Marini, Gabriella Agnoletti, Francis Brunelle, Laboratoire d'Imagerie Fonctionnelle ( LIF ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Service de radiologie pédiatrique [CHU Necker], Assistance publique - Hôpitaux de Paris (AP-HP)-CHU Necker - Enfants Malades [AP-HP], Service de cardiologie pédiatrique [CHU Necker], Service de chirurgie cardiaque pédiatrique [CHU Necker], Centre de Référence Malformations Cardiaques Congénitales Complexes, Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Necker - Enfants Malades [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), CHU Necker - Enfants Malades [AP-HP], and Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)
Subjects: Coronary angiography, Transposition of Great Vessels, Contrast Media, Computed tomography, 030204 cardiovascular system & hematology, MESH : Child, Preschool, MESH: Risk Assessment, MESH : Transposition of Great Vessels, Coronary Angiography, MESH : Radiographic Image Interpretation, Computer-Assisted, Severity of Illness Index, 030218 nuclear medicine & medical imaging, 0302 clinical medicine, MESH : Coronary Angiography, MESH : Child, MESH: Child, MESH : Tomography, X-Ray Computed, MESH: Transposition of Great Vessels, [ SDV.IB ] Life Sciences [q-bio]/Bioengineering, MESH : Risk Assessment, Child, MESH: Treatment Outcome, MESH: Cardiac Surgical Procedures, medicine.diagnostic_test, [ SDV.MHEP.CSC ] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, MESH: Predictive Value of Tests, 3. Good health, medicine.anatomical_structure, Treatment Outcome, Great arteries, Radiology Nuclear Medicine and imaging, MESH : Replantation, Predictive value of tests, Child, Preschool, Replantation, Radiographic Image Interpretation, Computer-Assisted, [SDV.IB]Life Sciences [q-bio]/Bioengineering, MESH : Severity of Illness Index, Radiology, Tomography, MESH : Sensitivity and Specificity, MESH: Tomography, X-Ray Computed, Cardiology and Cardiovascular Medicine, medicine.medical_specialty, MESH : Feasibility Studies, MESH : Treatment Outcome, MESH : Coronary Occlusion, MESH: Coronary Occlusion, MESH : Cardiac Surgical Procedures, Risk Assessment, Sensitivity and Specificity, 03 medical and health sciences, MESH: Coronary Stenosis, [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, Predictive Value of Tests, MESH: Severity of Illness Index, MESH: Contrast Media, Severity of illness, medicine, MESH: Radiographic Image Interpretation, Computer-Assisted, Humans, Radiology, Nuclear Medicine and imaging, MESH : Predictive Value of Tests, Cardiac Surgical Procedures, MESH : Contrast Media, MESH: Humans, business.industry, MESH: Child, Preschool, MESH : Humans, Coronary Stenosis, MESH : Coronary Stenosis, MESH: Sensitivity and Specificity, MESH: Coronary Angiography, Coronary arteries, Coronary Occlusion, Angiography, Feasibility Studies, business, MESH: Feasibility Studies, Tomography, X-Ray Computed, MESH: Replantation
Abstract: International audience; OBJECTIVES: We investigated the accuracy of 64-slice computed tomography (CT) angiography, as compared to invasive angiography, to evaluate reimplanted coronary arteries in children after arterial switch operation (ASO) for transposition of the great arteries (TGA). BACKGROUND: Assessment of the integrity of reimplanted coronary arteries is crucial for long-term outcome after ASO for TGA. Noninvasive tests have limited accuracy for detecting significant coronary lesions, and invasive coronary angiography is usually required in this setting. METHODS: One hundred thirty consecutive children, after ASO for TGA (age 5.6 +/- 1.1 years), underwent conventional invasive coronary angiography and coronary CT angiography using a 64-slice scanner. The ability of CT to detect significant coronary stenoses (>30% diameter reduction) of the coronary ostia and proximal segments, and other abnormalities of the coronary arteries was analyzed by blinded comparison to the invasive coronary angiogram. RESULTS: The CT was fully evaluable in 126 of 130 patients (97%), allowing assessment of ostia and proximal segments of all coronary arteries. The CT correctly detected all 12 patients (9.2%) in whom invasive coronary angiography had identified significant coronary lesions, with a sensitivity, specificity, and negative predictive value of 100%. In addition, CT showed nonsignificant coronary lesions (
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44. Daily forecast of solar thermal energy production for heat storage management

Author: Christian Tantolin, Xavier Le Pivert, Sylvain Rodat, Sylvain Lespinats, Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Laboratoire d'Innovation pour les Technologies des Energies Nouvelles et les nanomatériaux (LITEN), Institut National de L'Energie Solaire (INES), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Imagerie Fonctionnelle (LIF), and Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM)
Subjects: Engineering, Power station, Renewable Energy, Sustainability and the Environment, business.industry, 020209 energy, Strategy and Management, Photovoltaic system, 02 engineering and technology, 021001 nanoscience & nanotechnology, Thermal energy storage, Solar energy, 7. Clean energy, Industrial and Manufacturing Engineering, Automotive engineering, Grid parity, Renewable energy, Base load power plant, 0202 electrical engineering, electronic engineering, information engineering, [SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering, 0210 nano-technology, business, Simulation, Solar power, General Environmental Science
Abstract: International audience; Solar energy offers a renewable source of power but its fluctuating nature raises concerns about the electrical grid balancing. Network regulators have to estimate the upcoming production to match supply with demand; consequently, power plant operators may be asked to provide accurate forecasts. Planning the thermal or electrical output of solar power plants is thus highly required to ensure a stable power chain supply. This paper presents a solution that couples a meteorological model with a solar power plant performance model. The power output is predicted 24 h ahead in the case of a solar Fresnel power plant. The required Direct Normal Irradiance is inferred from the global horizontal irradiance; the thermal production is evaluated from an optical and thermal model. Our approach has been validated on a 1000 m 2 Fresnel power plant, paving the way for model-based storage strategy.
Published: 2016

45. Cognitive Decline and Reorganization of Functional Connectivity in Healthy Aging: The Pivotal Role of the Salience Network in the Prediction of Age and Cognitive Performances

Author: Valentina La Corte, Marco Sperduti, Caroline Malherbe, Francois Vialatte, Stephanie Lion, Thierry Gallarda, Catherine Oppenheim, Pascale Piolino, Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut de la Mémoire et de la Maladie d'Alzheimer [CHU Pitié-Salpétriêre] (IM2A), Université Pierre et Marie Curie - Paris 6 (UPMC)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Laboratoire Mémoire, Cerveau et Cognition (LMC2 (URP_7536)), Université Paris Cité (UPCité), Centre de Psychiatrie et Neurosciences (U894), Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université Paris Descartes - Paris 5 (UPD5), Université Sorbonne Paris Cité (USPC), Centre Hospitalier Sainte Anne [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Neuropsychologie cognitive et neuroanatomie fonctionnelles de la mémoire humaine, Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire Plasticité du Cerveau Brain Plasticity (UMR 8249) (PdC), Ecole Superieure de Physique et de Chimie Industrielles de la Ville de Paris (ESPCI Paris), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)
Subjects: Cognitive Neuroscience, [SHS.PSY]Humanities and Social Sciences/Psychology, 050105 experimental psychology, lcsh:RC321-571, 03 medical and health sciences, [SCCO]Cognitive science, 0302 clinical medicine, Salience (neuroscience), 0501 psychology and cognitive sciences, Cognitive decline, Episodic memory, lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, resting state, Default mode network, Original Research, resting state rs-fMRI episodic memory autobiographical memory executive functions functional connectivity machine learning aging, Resting state fMRI, Autobiographical memory, 05 social sciences, autobiographical memory, functional connectivity, aging, Cognition, episodic memory, Executive functions, executive functions, machine learning, Psychology, 030217 neurology & neurosurgery, rs-fMRI, Cognitive psychology, Neuroscience
Abstract: Normal aging is related to a decline in specific cognitive processes, in particular in executive functions and memory. In recent years a growing number of studies have focused on changes in brain functional connectivity related to cognitive aging. A common finding is the decreased connectivity within multiple resting state networks, including the default mode network (DMN) and the salience network. In this study, we measured resting state activity using fMRI and explored whether cognitive decline is related to altered functional connectivity. To this end we used a machine learning approach to classify young and old participants from functional connectivity data. The originality of the approach consists in the prediction of the performance and age of the subjects based on functional connectivity by using a machine learning approach. Our findings showed that the connectivity profile between specific networks predicts both the age of the subjects and their cognitive abilities. In particular, we report that the connectivity profiles between the salience and visual networks, and the salience and the anterior part of the DMN, were the features that best predicted the age. Moreover, independently of the age of the subject, connectivity between the salience network and various specific networks (i.e., visual, frontal) predicted episodic memory skills either based on a standard assessment or on an autobiographical memory task, and short-term memory binding. Finally, the connectivity between the salience and the frontal networks predicted inhibition and updating performance, but this link was no longer significant after removing the effect of age. Our findings confirm the crucial role of episodic memory and executive functions in cognitive aging and suggest a pivotal role of the salience network in neural reorganization in aging.
Published: 2016

46. Discriminant Analysis for Multiway Data

Author: Arthur Tenenhaus, Laurent Le Brusquet, Vincent Perlbarg, Gisela Lechuga, Damien Galanaud, Louis Puybasset, Laboratoire des signaux et systèmes (L2S), Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Johns Hopkins University School of Medicine [Baltimore], CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Siebert, Alexandra, Service de Neuroradiologie [CHU Pitié-Salpêtrière], and Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)
Subjects: Clustering high-dimensional data, business.industry, Computer science, Pattern recognition, Overfitting, Linear discriminant analysis, Cross-validation, Constraint (information theory), 03 medical and health sciences, 0302 clinical medicine, Neuroimaging, Ranking, Discriminant, 030202 anesthesiology, Artificial intelligence, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, 030217 neurology & neurosurgery, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
Abstract: International audience; A multiway Fisher Discriminant Analysis (MFDA) formulation is presented in this paper. The core of MFDA relies on the structural constraint imposed to the discriminant vectors in order to account for the multiway structure of the data. This results in a more parsimonious model than that of Fisher Discriminant Analysis (FDA) performed on the unfolded data table. Moreover, computational and overfitting issues that occur with high dimensional data are better controlled. MFDA is applied to predict the long term recovery of patients after traumatic brain injury from multi-modal brain Magnetic Resonance Imaging. As compared to FDA, MFDA clearly tracks down the discrimination areas within the white matter region of the brain and provides a ranking of the contribution of the neuroimaging modalities. Based on cross validation, the accuracy of MFDA is equal to 77% against 75% for FDA.
Published: 2016

47. Age-Related Changes in Aortic Arch Geometry

Author: Nadjia Kachenoura, Colin O. Wu, Alban Redheuil, Elie Mousseaux, Joao A.C. Lima, David A. Bluemke, Ahmed Harouni, Wen Chung Yu, Johns Hopkins University (JHU), Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Hôpital Européen Georges Pompidou [APHP] (HEGP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO), National Yang Ming University (NYMU), National Heart, Lung, and Blood Institute [Bethesda] (NHLBI), and Gestionnaire, Hal Sorbonne Université
Subjects: Aortic arch, medicine.medical_specialty, [SDV]Life Sciences [q-bio], Geometry, 030204 cardiovascular system & hematology, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Afterload, medicine.artery, Internal medicine, Ascending aorta, medicine, Thoracic aorta, Pulse wave velocity, Aorta, [SDV.MHEP] Life Sciences [q-bio]/Human health and pathology, business.industry, Anatomy, 3. Good health, [SDV] Life Sciences [q-bio], Cardiology, Ventricular pressure, cardiovascular system, Aortic stiffness, business, Cardiology and Cardiovascular Medicine, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract: International audience; Objectives: We sought to define age-related geometric changes of the aortic arch and determine their relationship to central aortic stiffness and left ventricular (LV) remodeling.Background: The proximal aorta has been shown to thicken, enlarge in diameter, and lengthen with aging in humans. However, no systematic study has described age-related longitudinal and transversal remodeling of the aortic arch and their relationship with LV mass and remodeling.Methods: We studied 100 subjects (55 women, 45 men, average age 46 ± 16 years) free of overt cardiovascular disease using magnetic resonance imaging to determine aortic arch geometry (length, diameters, height, width, and curvature), aortic arch function (local aortic distensibility and arch pulse wave velocity [PWV]), and LV volumes and mass. Radial tonometry was used to calculate central blood pressure.Results: Aortic diameters and arch length increased significantly with age. The ascending aorta length increased most, with age leading to aortic arch widening and decreased curvature. These geometric changes of the aortic arch were significantly related to decreased ascending aortic distensibility, increased aortic arch PWV (p < 0.001), and increased central blood pressures (p < 0.001). Increased ascending aortic diameter, lengthening, and decreased curvature of the aortic arch (unfolding) were all significantly associated with increased LV mass and concentric remodeling independently of age, sex, body size, and central blood pressure (p < 0.01).Conclusions: Age-related unfolding of the aortic arch is related to increased proximal aortic stiffness in individuals without cardiovascular disease and associated with increased LV mass and mass-to-volume ratio independent of age, body size, central pressure, and cardiovascular risk factors.
Published: 2011
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48. Evaluation of an edge-based registration method: application to magnetic resonance first-pass myocardial perfusion data

Author: Philippe Grenier, Dan Toledano, Daniel Balvay, Philippe Cluzel, Nadjia Kachenoura, Charles A. Cuenod, Frédérique Frouin, Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de Radiologie [CHU Pitié-Salpétrière], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Paris-Centre de Recherche Cardiovasculaire (PARCC - UMR-S U970), Hôpital Européen Georges Pompidou [APHP] (HEGP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de Radiologie [CHU HEGP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), and Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Hôpital Européen Georges Pompidou [APHP] (HEGP)
Subjects: Male, Computer science, [SDV]Life Sciences [q-bio], Biomedical Engineering, Biophysics, Contrast Media, Coronary Disease, 030204 cardiovascular system & hematology, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, Meglumine, 0302 clinical medicine, Coronary Circulation, Image Interpretation, Computer-Assisted, Organometallic Compounds, medicine, Humans, Radiology, Nuclear Medicine and imaging, Aged, First pass, medicine.diagnostic_test, Noise (signal processing), business.industry, Myocardium, Magnetic resonance imaging, Image enhancement, Motion correction, Image Enhancement, Magnetic Resonance Imaging, Exercise Test, Edge based, Female, Cardiac magnetic resonance, Nuclear medicine, business, Perfusion, Algorithms, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract: International audience; Purpose: Quantification of cardiac magnetic resonance (CMR) myocardial perfusion remains time consuming since it requires manual interventions to compensate for motion. Thus, the aim of this study was to evaluate a semiautomated registration method.Materials and methods: A rigid edge-based registration algorithm was applied on 10 patients who had rest and stress CMR acquisitions on three slice levels (apical, midventricular and basal slices). Registration efficiency was assessed qualitatively by evaluating the quality of k-means maps in terms of symmetry and heart structures identification before and after registration and quantitatively by estimating noise amplitude within the myocardium. Finally, residual registration errors were manually estimated.Results: Before registration, k-means maps were satisfactory for 15 of 30 slices at rest and for only 5 of 30 slices during stress. After registration, the k-means maps quality was satisfactory for 29 of 30 slices at rest and for 30 of 30 slices during stress. Moreover, registration reduced noise amplitude from 49±26 to 29±11 at rest (P
Published: 2011

49. Measurement of aortic arch pulse wave velocity in cardiovascular MR: Comparison of transit time estimators and description of a new approach

Author: Nadjia Kachenoura, A. Decesare, Muriel Lefort, Alain Herment, Elie Mousseaux, Alban Redheuil, Anas Dogui, Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de Radiologie [CHU HEGP], Hôpital Européen Georges Pompidou [APHP] (HEGP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO), and Gestionnaire, Hal Sorbonne Université
Subjects: Adult, Aortic arch, medicine.medical_specialty, Time Factors, [SDV]Life Sciences [q-bio], Aorta, Thoracic, 030204 cardiovascular system & hematology, Cardiovascular System, Body Mass Index, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, medicine.artery, Ascending aorta, medicine, Humans, Radiology, Nuclear Medicine and imaging, Pulse wave velocity, Aorta, Mathematics, Reproducibility, [SDV.MHEP] Life Sciences [q-bio]/Human health and pathology, business.industry, Reproducibility of Results, Estimator, Sigmoid function, Middle Aged, Magnetic Resonance Imaging, Surgery, [SDV] Life Sciences [q-bio], Femoral Artery, Carotid Arteries, Pulsatile Flow, cardiovascular system, Aortic stiffness, Nuclear medicine, business, Blood Flow Velocity, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract: Purpose: To investigate the efficiency of a new method (TT-Upslope) for transit time (Δt) estimation from cardiovascular MR (CMR) velocity curves. Materials and Methods: Fifty healthy volunteers (40 ± 15 years) underwent applanation tonometry to estimate carotid–femoral pulse wave velocity (cf-PWV) and carotid pressure measurements, and CMR to estimate aortic arch-PWV and ascending aorta distensibility (AAD). The Δt was calculated with TT-Upslope by minimizing the area delimited by two sigmoid curves fitted to the systolic upslope of the ascending (AAC) and descending (DAC) aorta velocity curves, and compared with previously described methods: TT-Point using the half maximum of AAC and DAC, TT-Foot using AAC and DAC feet, and TT-Wave by minimizing the area between AAC and DAC curves using cross correlation. Results: All the Δt methods provided a high reproducibility of arch-PWV. However, TT-Upslope and TT-Wave resulted in better correlations with aging (r = 0.83/r = 0.83 versus r = 0.47/r = 0.72), cf-PWV (r = 0.69/r = 0.70 versus r = 0.34/r = 0.59), and AAD (r = 0.81/r = 0.71 versus r = 0.61/r = 0.60). Furthermore, TT-Upslope resulted in stronger relationship between arch-PWV and AAD according to a theoretical model and provided better characterization of older subjects compared with TT-Wave. Conclusion: Arch-PWV estimated with CMR using the TT-Upslope method was found to be reproducible and accurate, providing strong correlations with age and aortic stiffness indices. J. Magn. Reson. Imaging 2011;33:1321–1329. © 2011 Wiley-Liss, Inc.
Published: 2011

50. Brain Perfusion in Adult Patients with Acute Myeloblastic Leukemia before and after Cytosine Arabinoside

Author: Pierre Vera, Hervé Tilly, Marie-Odile Habert, Didier Hannequin, Stéphane Leprêtre, Olivier Martinaud, Anne Hitzel, Romain Modzelewski, Equipe Quantification en Imagerie Fonctionnelle (QuantIF-LITIS), Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes (LITIS), Université Le Havre Normandie (ULH), Normandie Université (NU)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA)-Université Le Havre Normandie (ULH), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA), Service d'Hématologie, Centre de Lutte Contre le Cancer Henri Becquerel Normandie Rouen (CLCC Henri Becquerel), Service de neurologie [Rouen], CHU Rouen, Normandie Université (NU)-Normandie Université (NU), Génétique médicale et fonctionnelle du cancer et des maladies neuropsychiatriques, Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Université Le Havre Normandie (ULH), Normandie Université (NU), Service de médecine nucléaire [CHU Pitié-Salpétrière], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), and Breton, Céline
Subjects: Adult, Male, Cancer Research, Adolescent, Acute myeloblastic leukemia, Perfusion scanning, Statistical parametric mapping, Young Adult, 03 medical and health sciences, 0302 clinical medicine, medicine, Humans, Radiology, Nuclear Medicine and imaging, Prospective cohort study, ComputingMilieux_MISCELLANEOUS, Aged, Tomography, Emission-Computed, Single-Photon, medicine.diagnostic_test, business.industry, Cytarabine, Brain, Magnetic resonance imaging, Middle Aged, medicine.disease, 3. Good health, Perfusion, Leukemia, Myeloid, Acute, Oncology, Cerebral blood flow, Cerebrovascular Circulation, 030220 oncology & carcinogenesis, Female, business, Nuclear medicine, 030217 neurology & neurosurgery, Emission computed tomography
Abstract: High-dose (HD) cytosine arabinoside (ara-C) is a major treatment in acute myeloblastic leukemia (AML) that can lead to cerebellar complications, although electroencephalogram, computed tomography, and magnetic resonance imaging remain normal. We conducted a prospective study to evaluate brain perfusion with single-photon emission computed tomography (SPECT) in adult patients before and after receiving ara-C. Forty-three patients were pre-included, and 20 reached a complete remission. These 20 patients were definitively included and underwent three technetium-99m hexamethyl-propylene-amine oxime (HMPAO) SPECT acquisitions with a double-head camera: SPECT1 at AML diagnosis, SPECT2 after induction (conventional ara-C dose), and SPECT3 during HD ara-C treatment. All the included patients underwent six series of neurological and cognitive examinations: N1, N2, and N3 at the time of SPECT1, SPECT2, and SPECT3, respectively; N4 during HD ara-C treatment; N5 (at 10 days); and N6 during follow-up (at 6 months). Statistical parametric mapping (SPM2) was used to test perfusion changes. A specific method based on random walk (RW) was used to analyze diffuse brain perfusion heterogeneity. No neurological adverse effect was observed, and all neurological and cognitive examinations remained normal. Between SPECT1 and SPECT2, SPM2 analysis showed a decrease in cerebral blood flow, i.e., in the cerebellum, in the occipitoparietal cortex, and in the thalamus. No significant difference was observed between SPECT2 and SPECT3 or between SPECT1 and SPECT3. RW analysis showed no significant difference in perfusion heterogeneity between the three SPECTs. HMPAO SPECT demonstrated a decrease in thalamus, cerebellar, and parieto-occipital perfusion after conventional doses of ara-C in AML patients, although the neurological examinations were normal and the patients had no neurological adverse effects.
Published: 2010

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