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2. Driving Dynamic Cardiac Model Adaptation with MR-Tagging Displacement Information

Author

Casta, Christopher, Clarysse, Patrick, Pousin, Jérôme, Schaerer, Joël, Croisille, Pierre, Zhu, Yue-Min, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Metaxas, Dimitris N., editor, and Axel, Leon, editor

Published
2011
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3. Incorporating Low-Level Constraints for the Retrieval of Personalised Heart Models from Dynamic MRI

Author

Casta, Christopher, Clarysse, Patrick, Pousin, Jérôme, Schaerer, Joël, Croisille, Pierre, Zhu, Yue-Min, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Camara, Oscar, editor, Pop, Mihaela, editor, Rhode, Kawal, editor, Sermesant, Maxime, editor, Smith, Nic, editor, and Young, Alistair, editor

Published
2010
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5. Cardiac Fibre Trace Clustering for the Interpretation of the Human Heart Architecture

Author

Frindel, Carole, Robini, Marc, Schaerer, Joël, Croisille, Pierre, Zhu, Yue-Min, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Ayache, Nicholas, editor, Delingette, Hervé, editor, and Sermesant, Maxime, editor

Published
2009
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6. A Hyperelastic Deformable Template for Cardiac Segmentation in MRI

Author

Rouchdy, Youssef, Pousin, Jérôme, Schaerer, Joël, Clarysse, Patrick, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Rangan, C. Pandu, editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Sachse, Frank B., editor, and Seemann, Gunnar, editor

Published
2007
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7. Reconstruction of Detailed Left Ventricle Motion from tMRI Using Deformable Models

Author

Wang, Xiaoxu, Schaerer, Joel, Huh, Suejung, Qian, Zhen, Metaxas, Dimitis, Chen, Ting, Axel, Leon, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Rangan, C. Pandu, editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Sachse, Frank B., editor, and Seemann, Gunnar, editor

Published
2007
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16. Evaluation of the dynamic elastic template model for the segmentation of the heart in mri sequences

Author

Casta , Christopher, Clarysse , Patrick, Schaerer , Joel, Pousin , Jerome, 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), Modélisation mathématique, calcul scientifique (MMCS), Institut Camille Jordan [Villeurbanne] (ICJ), École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-École Centrale de Lyon (ECL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche et d'Application en Traitement de l'Image et du Signal ( 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 ) -École Supérieure Chimie Physique Électronique de Lyon-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Modélisation mathématique, calcul scientifique ( MMCS ), Institut Camille Jordan [Villeurbanne] ( ICJ ), Centre National de la Recherche Scientifique ( CNRS ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -École Centrale de Lyon ( ECL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Centre National de la Recherche Scientifique ( CNRS ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -École Centrale de Lyon ( ECL ), and Université de Lyon

Subjects
[ MATH.MATH-NA ] Mathematics [math]/Numerical Analysis [math.NA], ComputingMilieux_MISCELLANEOUS, [MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA]
Abstract

International audience

Published
2009

17. Towards Production-level Cardiac Image Analysis with Grids

Author

Maheshwari , Ketan, Glatard , Tristan, Schaerer , Joel, Delhay , Bertrand, Camarasu-Pop , Sorina, Clarysse , Patrick, Montagnat , Johan, 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 et d'Application en Traitement de l'Image et du Signal (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)-École Supérieure Chimie Physique Électronique de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Tony Solomonides, Martin Hofmann-Apitius, Mathias Freudigmann, Sebastian Claudius Semler, Yannick Legré, Mary Kratz, ANR-06-MDCA-0009,GWENDIA,Grid Workflow Efficient Enactement for Data Intensive Applications(2006), 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 et d'Application en Traitement de l'Image et du Signal ( 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 ) -École Supérieure Chimie Physique Électronique de Lyon-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), and ANR-06-MDCA-0009,GWENDIA,Grid Workflow Efficient Enactement for Data Intensive Applications ( 2006 )

Subjects
[ INFO.INFO-DC ] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], workflow enactment, production, [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], grid computing, Cardiac image analysis
Abstract

International audience; Production exploitation of cardiac image analysis tools is hampered by the lack of proper IT infrastructure in health institutions, the non trivial integration of heterogeneous codes in coherent analysis procedures, and the need to achieve complete automation of these methods. HealthGrids are promising technologies to address these difficulties. This paper details how they can be complemented by high level problem solving environments such as workflow managers to improve the performance of applications both in terms of execution time and robustness of re- sults. Two of the most important important cardiac image analysis tasks are consid- ered, namely myocardium segmentation and motion estimation in a 4D sequence. Results are shown on the corresponding pipelines, using two different execution environments on the EGEE grid production infrastructure.

Published
2009

18. Grid Analysis of Radiological Data

Author

Germain-Renaud, Cecile, Breton, Vincent, Clarysse, Patrick, Delhay, Bertrand, Gaudeau, Yann, Glatard, Tristan, Jeannot, Emmanuel, Legre, Yannick, Montagnat, Johan, Moureaux, Jean-Marie, Osorio, Angel, Pennec, Xavier, Schaerer, Joel, Texier, Romain, Laboratoire de Recherche en Informatique (LRI), Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Machine Learning and Optimisation (TAO), Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Equipe PCSV, Laboratoire de Physique Corpusculaire - Clermont-Ferrand (LPC), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche et d'Application en Traitement de l'Image et du Signal (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-École Supérieure de Chimie Physique Électronique de Lyon (CPE)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche en Automatique de Nancy (CRAN), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Algorithms for the Grid (ALGORILLE), 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), HealthGrid, 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 (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), 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), Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur (LIMSI), Université Paris-Sud - Paris 11 (UP11)-Sorbonne Université - UFR d'Ingénierie (UFR 919), Sorbonne Université (SU)-Sorbonne Université (SU)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université Paris Saclay (COmUE), Analysis and Simulation of Biomedical Images (ASCLEPIOS), Inria Sophia Antipolis - Méditerranée (CRISAM), The AGIR project has been funded by the French Ministry of Research under the Masses de Données program. Developments has been partially supported by the EGEE-II project funded by the European Union INFSO-RI-031688, by other grants from the European Commission (BioinfoGRID, Embrace), and for the work in section 7 by regional authorities (Conseil Régional d'Auvergne, Conseil Général du Puy-de-Dôme, Conseil Général de l'Allier), Mario Cannataro (Ed.), Centre National de la Recherche Scientifique (CNRS)-Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Paris-Sud - Paris 11 (UP11)-Laboratoire de Recherche en Informatique (LRI), Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-CentraleSupélec, 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)-École Supérieure Chimie Physique Électronique de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), 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), 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), Université Paris Saclay (COmUE)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université - UFR d'Ingénierie (UFR 919), Sorbonne Université (SU)-Sorbonne Université (SU)-Université Paris-Saclay-Université Paris-Sud - Paris 11 (UP11), Laboratoire de Recherche en Informatique ( LRI ), Université Paris-Sud - Paris 11 ( UP11 ) -Institut National de Recherche en Informatique et en Automatique ( Inria ) -CentraleSupélec-Centre National de la Recherche Scientifique ( CNRS ), Machine Learning and Optimisation ( TAO ), Université Paris-Sud - Paris 11 ( UP11 ) -Institut National de Recherche en Informatique et en Automatique ( Inria ) -CentraleSupélec-Centre National de la Recherche Scientifique ( CNRS ) -Université Paris-Sud - Paris 11 ( UP11 ) -Institut National de Recherche en Informatique et en Automatique ( Inria ) -CentraleSupélec-Centre National de la Recherche Scientifique ( CNRS ) -Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique ( Inria ), Laboratoire de Physique Corpusculaire - Clermont-Ferrand ( LPC ), Université Blaise Pascal - Clermont-Ferrand 2 ( UBP ) -Institut National de Physique Nucléaire et de Physique des Particules du CNRS ( IN2P3 ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Blaise Pascal - Clermont-Ferrand 2 ( UBP ) -Institut National de Physique Nucléaire et de Physique des Particules du CNRS ( IN2P3 ) -Centre National de la Recherche Scientifique ( CNRS ), Centre de Recherche et d'Application en Traitement de l'Image et du Signal ( 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 ) -École Supérieure Chimie Physique Électronique de Lyon-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Centre de Recherche en Automatique de Nancy ( CRAN ), Université de Lorraine ( UL ) -Centre National de la Recherche Scientifique ( CNRS ), Algorithms for the Grid ( ALGORILLE ), 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 ), 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 ), Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur ( LIMSI ), Université Paris-Sud - Paris 11 ( UP11 ) -Centre National de la Recherche Scientifique ( CNRS ), 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 ), Université Paris-Sud - Paris 11 (UP11) - Institut National de Recherche en Informatique et en Automatique (Inria) - CentraleSupélec - Centre National de la Recherche Scientifique (CNRS), Université Paris-Sud - Paris 11 (UP11) - Institut National de Recherche en Informatique et en Automatique (Inria) - CentraleSupélec - Centre National de la Recherche Scientifique (CNRS) - Université Paris-Sud - Paris 11 (UP11) - Institut National de Recherche en Informatique et en Automatique (Inria) - CentraleSupélec - Centre National de la Recherche Scientifique (CNRS) - Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria), Université Blaise Pascal - Clermont-Ferrand 2 (UBP) - Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3) - Centre National de la Recherche Scientifique (CNRS) - Université Blaise Pascal - Clermont-Ferrand 2 (UBP) - Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3) - Centre National de la Recherche Scientifique (CNRS), Centre de recherche en applications et traitement de l'image pour la santé (CREATIS), Centre National de la Recherche Scientifique (CNRS) - Institut National de la Santé et de la Recherche Médicale (INSERM) - Hospices Civils de Lyon - Université Claude Bernard Lyon 1 (UCBL) - Institut National des Sciences Appliquées (INSA), Université de Lorraine (UL) - Centre National de la Recherche Scientifique (CNRS), 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), Scalable and Pervasive softwARe and Knowledge Systems (SPARKS), Université Nice Sophia Antipolis (UNS) - Centre National de la Recherche Scientifique (CNRS) - Université Nice Sophia Antipolis (UNS) - Centre National de la Recherche Scientifique (CNRS) - Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S), Université Nice Sophia Antipolis (UNS) - Centre National de la Recherche Scientifique (CNRS) - Université Nice Sophia Antipolis (UNS) - Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur [Orsay] (LIMSI), Université Pierre et Marie Curie - Paris 6 (UPMC) - Université Paris-Sud - Paris 11 (UP11) - Centre National de la Recherche Scientifique (CNRS), Institut National de Recherche en Informatique et en Automatique (Inria) - Institut National de Recherche en Informatique et en Automatique (Inria), and Montagnat, Johan

Subjects
020203 distributed computing, Data processing, Telemedicine, Exploit, business.industry, Computer science, Data management, 02 engineering and technology, Grid, Data science, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Semantic grid, Workflow, [ INFO.INFO-DC ] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], 0202 electrical engineering, electronic engineering, information engineering, [INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], Use case, [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], business
Abstract

IGI-Global Medical Information Science Discoveries Research Award 2009; International audience; Grid technologies and infrastructures can contribute to harnessing the full power of computer-aided image analysis into clinical research and practice. Given the volume of data, the sensitivity of medical information, and the joint complexity of medical datasets and computations expected in clinical practice, the challenge is to fill the gap between the grid middleware and the requirements of clinical applications. This chapter reports on the goals, achievements and lessons learned from the AGIR (Grid Analysis of Radiological Data) project. AGIR addresses this challenge through a combined approach. On one hand, leveraging the grid middleware through core grid medical services (data management, responsiveness, compression, and workflows) targets the requirements of medical data processing applications. On the other hand, grid-enabling a panel of applications ranging from algorithmic research to clinical use cases both exploits and drives the development of the services.

Published
2009

19. IC-P-108: VOLUMETRIC MRI RESULTS OF BMS AVAGACESTAT IN A PRODROMAL AD POPULATION

Author

Istace, Audrey, primary, Bracoud, Luc, additional, Berman, Robert M., additional, Luo, Feng, additional, Roche, Florent, additional, Salloway, Stephen, additional, van Dyck, Christopher, additional, Dubois, Bruno, additional, Andreasen, Niels, additional, Brody, Mark, additional, Curtis, Craig, additional, Soininen, Hilkka, additional, Thein, Stephen, additional, Shiovitz, Thomas, additional, Ferris, Steven H., additional, Grill, Joshua D., additional, Gouttard, Sylvain, additional, Schaerer, Joel, additional, Hayes, Wendy, additional, Kaplita, Stephen, additional, Belaroussi, Boubakeur, additional, Yu, Hui Jing, additional, Cedarbaum, Jesse, additional, Feldman, Howard, additional, Pachai, Chahin, additional, and Coric, Vlad, additional

Published
2014
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20. IC-P-197: MICROHEMORRHAGE FINDINGS ON BASELINE ROSAS MRI DATA

Author

Basselerie, Hubert, primary, Bracoud, Luc, additional, Schneble, Hans-Martin, additional, Gouttard, Sylvain, additional, Guignot, Isabelle, additional, Istace, Audrey, additional, Roche, Florent, additional, Schaerer, Joel, additional, Pueyo, Maria, additional, Pachai, Chahin, additional, Vellas, Bruno, additional, and Bonneville, Fabrice, additional

Published
2014
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21. P2-223: MICROHEMORRHAGE FINDINGS ON BASELINE ROSAS MRI DATA

Author

Basselerie, Hubert, primary, Bracoud, Luc, additional, Schneble, Hans-Martin, additional, Gouttard, Sylvain, additional, Guignot, Isabelle, additional, Istace, Audrey, additional, Roche, Florent, additional, Schaerer, Joel, additional, Pueyo, Maria, additional, Pachai, Chahin, additional, Vellas, Bruno, additional, and Bonneville, Fabrice, additional

Published
2014
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22. P2-202: VOLUMETRIC MRI RESULTS OF BMS AVAGACESTAT IN A PRODROMAL AD POPULATION

Author

Istace, Audrey, primary, Bracoud, Luc, additional, Berman, Robert M., additional, Luo, Feng, additional, Roche, Florent, additional, Salloway, Stephen, additional, van Dyck, Christopher, additional, Dubois, Bruno, additional, Andreasen, Niels, additional, Brody, Mark, additional, Curtis, Craig, additional, Soininen, Hilkka, additional, Thein, Stephen, additional, Shiovitz, Thomas, additional, Ferris, Steven H., additional, Grill, Joshua D., additional, Gouttard, Sylvain, additional, Schaerer, Joel, additional, Hayes, Wendy, additional, Kaplita, Stephen, additional, Belaroussi, Boubakeur, additional, Yu, Hui Jing, additional, Cedarbaum, Jesse, additional, Feldman, Howard, additional, Pachai, Chahin, additional, and Coric, Vlad, additional

Published
2014
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25. Calcul des états de collision inévitable pour un véhicule de type voiture

Author

Schaerer, Joel, Geometry and Probability for Motion and Action (E-MOTION), Laboratoire d'informatique GRAphique, VIsion et Robotique de Grenoble (GRAVIR - IMAG), Université Joseph Fourier - Grenoble 1 (UJF)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Inria Grenoble - Rhône-Alpes, and Institut National de Recherche en Informatique et en Automatique (Inria)

Subjects
[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]
Abstract

voir basilic : http://emotion.inrialpes.fr/bibemotion/2003/Sch03/ type: Mémoire de fin d'études institution: Institut National des Sciences Appliquées (INSA) address: Lyon (FR)

Published
2003

32. VOLUMETRIC MRI RESULTS OF BMS AVAGACESTAT IN A PRODROMAL AD POPULATION

Author

Istace, Audrey, Bracoud, Luc, Berman, Robert M., Luo, Feng, Roche, Florent, Salloway, Stephen, van Dyck, Christopher, Dubois, Bruno, Andreasen, Niels, Brody, Mark, Curtis, Craig, Soininen, Hilkka, Thein, Stephen, Shiovitz, Thomas, Ferris, Steven H., Grill, Joshua D., Gouttard, Sylvain, Schaerer, Joel, Hayes, Wendy, Kaplita, Stephen, Belaroussi, Boubakeur, Yu, Hui Jing, Cedarbaum, Jesse, Feldman, Howard, Pachai, Chahin, and Coric, Vlad

Published
2014
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35. Reconstruction of Detailed Left Ventricle Motion from tMRI Using Deformable Models.

Author

Hutchison, David, Kanade, Takeo, Kittler, Josef, Kleinberg, Jon M., Mattern, Friedemann, Mitchell, John C., Naor, Moni, Nierstrasz, Oscar, Rangan, C. Pandu, Steffen, Bernhard, Sudan, Madhu, Terzopoulos, Demetri, Tygar, Doug, Vardi, Moshe Y., Weikum, Gerhard, Sachse, Frank B., Seemann, Gunnar, Wang, Xiaoxu, Schaerer, Joel, and Huh, Suejung

Abstract

We present a system that reconstructs the 3D motion of the left ventricle (LV) for a full cardiac cycle using a deformable model built from tagged MR images. Two sets of cues are drawn from tagged MRI. The intersections of the three tagging planes, and the intersections of the LV boundary and the tagging planes, are interpolated onto the mesh vertices. We implement a deformable model to track the LV motion, utilizing Finite Element Methods (FEM) to keep the general shape and topology of the LV. This volumetric deformable model speeds up the FEM and facilitates the medical analysis. The LV motion reconstruction provides information for further analysis of cardiac mechanisms. [ABSTRACT FROM AUTHOR]

Published
2007
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42. B-Spline Explicit Active Surfaces: An Efficient Framework for Real-Time 3-D Region-Based Segmentation.

Author

Barbosa, Daniel, Dietenbeck, Thomas, Schaerer, Joel, D'hooge, Jan, Friboulet, Denis, and Bernard, Olivier

Subjects
IMAGE segmentation, REAL-time computing, ALGORITHMS, ELECTRONIC data processing, DIAGNOSTIC imaging, IMAGE analysis, IMAGE processing
Abstract

A new formulation of active contours based on explicit functions has been recently suggested. This novel framework allows real-time 3-D segmentation since it reduces the dimensionality of the segmentation problem. In this paper, we propose a B-spline formulation of this approach, which further improves the computational efficiency of the algorithm. We also show that this framework allows evolving the active contour using local region-based terms, thereby overcoming the limitations of the original method while preserving computational speed. The feasibility of real-time 3-D segmentation is demonstrated using simulated and medical data such as liver computer tomography and cardiac ultrasound images. [ABSTRACT FROM PUBLISHER]

Published
2012
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49. APOE ε4/ε4 homozygotes with early Alzheimer's disease show accelerated hippocampal atrophy and cortical thinning that correlates with cognitive decline.

Author

Abushakra S, Porsteinsson AP, Sabbagh M, Bracoud L, Schaerer J, Power A, Hey JA, Scott D, Suhy J, and Tolar M

Abstract

Introduction: Hippocampal volume (HV) and cortical thickness are commonly used imaging biomarkers in Alzheimer's disease (AD) trials, and may have utility as selection criteria for enrichment strategies. Atrophy rates of these measures, in the high-risk apolipoprotein E (APOE) ε4/ε4 homozygous AD subjects are unknown., Methods: Data from Alzheimer's Disease Neuroimaging Initiative (ADNI-1) and a tramiprosate trial were analyzed in APOE ε4/ε4 and APOE ε3/ε3 subjects with mild cognitive impairment (MCI) or mild AD. Magnetic resonance imaging (MRI) data were centrally processed using FreeSurfer; total HV and composite average cortical thickness were derived and adjusted for age, head size, and education. Volumetric changes from baseline were assessed using Boundary Shift Integral, and correlated with cognitive changes., Results: APOE ε4/ε4 MCI subjects showed significantly higher % HV atrophy and cortical thinning at 12 months (4.4%, 3.1%, n = 29) compared to APOE ε3/ε3 subjects (2.8%, 1.8%, n = 93) and similarly in mild AD (7.4%, 4.7% n = 21 vs 5.4%, 3.3% n = 29). Differences were all significant at 24 months. Over 24 months, HV atrophy and cortical thinning correlated significantly with Alzheimer's Disease Assessment Scale-Cognitive subscale worsening in APOE ε4/ε4 MCI subjects, but not in mild AD., Discussion: Correlation of volumetric measures to cognitive change in APOE ε4/ε4 subjects with early AD supports their role as efficacy biomarkers. If confirmed in a Phase 3 trial with ALZ-801 (pro-drug of tramiprosate) in APOE ε4/ε4 early AD subjects, it may allow their use as surrogate outcomes in future treatment or prevention trials in AD., Competing Interests: Dr. Susan Abushakra serves as the chief medical officer of Alzheon, Inc. and holds stock and stock options of Alzheon, Inc. Dr. Martin Tolar serves as the founder, president, and chief executive officer of Alzheon, Inc. and holds stock and stock options of Alzheon, Inc. Dr. John A. Hey serves as the chief scientific officer of Alzheon, Inc. and holds stock and stock options of Alzheon, Inc. Dr. Aidan Power serves as a vice president at Alzheon, Inc. and holds stock and stock options of Alzheon, Inc. Dr. Anton Porsteinsson receives research support from the National Institutes of Health and U.S. Department of Defense. He also receives grants from AstraZeneca, Avanir, Biogen, Biohaven, Eisai, Eli Lilly, Genentech/Roche, Janssen, Novartis, Merck, and Toyama. He receives personal fees from Acadia Pharmaceuticals, Avanir, BioXcel, Eisai, Functional Neuromodulation, Grifols, Lundbeck, Merck, Neurim Pharmaceuticals, Pfizer, Tetra Discovery Partners, and Toyama. Dr. Marwan Sabbagh receives research support from the NIH and the Keep Memory Alive Foundation. He has consulting agreements with Allergan, Biogen, Bracket, Cortexyme, Grifols, Sanofi, Neurotrope, and Roche‐Genentech. He has ownership interest in Brain Health Inc., Versanum Inc., Neurotrope Inc., and uMethod Health. Drs. Joyce Suhy, Luc Bracoud, Joel Schaerer, and David Scott serve as full‐time employees of Bioclinica Inc. and have no competing interest in Alzheon Inc., (© 2020 The Authors. Alzheimer's & Dementia: Translational Research & Clinical Interventions published by Wiley Periodicals, Inc. on behalf of Alzheimer's Association.)

Published
2020
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50. A new dynamic elastic model for cardiac image analysis.

Author

Schaerer J, Clarysse P, and Pousin J

Subjects
Elasticity, Heart anatomy & histology, Humans, Algorithms, Computer Simulation, Heart physiology, Magnetic Resonance Imaging, Models, Cardiovascular
Abstract

We believe that strong prior models are a pre-requisite for reliable spatio-temporal cardiac image analysis. While several cardiac models have been presented in the past, many of them are either too complex for their parameters to be estimated on the sole basis of MR Images, or overly simplified. In this paper, we present a novel bio-inspired dynamic model, based on the equation of dynamics for elastic materials. The explicit use of dynamics allows us to enforce periodicity and temporal smoothness constraints. We study two different methods for solving the resulting equations, and show them to be equivalent. We show how temporal filtering can help to remove noise and ensure the periodicity and smoothness of solutions. Finally, we show some results in 1D and on a synthetic model to illustrate the benefits of our new dynamic model and to show how it can be used to analyze cardiac MR images.

Published
2007
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