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114 results on '"de Certaines, Jacques"'

1. Multi-muscle Texture Analysis for Dystrophy Development Identification in Golden Retriever Muscular Dystrophy Dogs

Author

Duda, Dorota, Azzabou, Noura, de Certaines, Jacques D., 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, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Saeed, Khalid, editor, and Homenda, Władysław, editor

Published
2018
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2. MRI Texture-Based Classification of Dystrophic Muscles. A Search for the Most Discriminative Tissue Descriptors

Author

Duda, Dorota, Kretowski, Marek, Azzabou, Noura, de Certaines, Jacques D., Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Weikum, Gerhard, Series Editor, Saeed, Khalid, editor, and Homenda, Władysław, editor

Published
2016
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3. MRI Texture Analysis for Differentiation Between Healthy and Golden Retriever Muscular Dystrophy Dogs at Different Phases of Disease Evolution

Author

Duda, Dorota, Kretowski, Marek, Azzabou, Noura, de Certaines, Jacques D., 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, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Saeed, Khalid, editor, and Homenda, Wladyslaw, editor

Published
2015
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18. The impact of image dynamic range on texture classification of brain white matter

Author

de Certaines Jacques D, Alkaabi Mariam K, Mahmoud-Ghoneim Doaa, and Goettsche Frank-M

Subjects
Medical technology, R855-855.5
Abstract

Abstract Background The Greylevel Cooccurrence Matrix method (COM) is one of the most promising methods used in Texture Analysis of Magnetic Resonance Images. This method provides statistical information about the spatial distribution of greylevels in the image which can be used for classification of different tissue regions. Optimizing the size and complexity of the COM has the potential to enhance the reliability of Texture Analysis results. In this paper we investigate the effect of matrix size and calculation approach on the ability of COM to discriminate between peritumoral white matter and other white matter regions. Method MR images were obtained from patients with histologically confirmed brain glioblastoma using MRI at 3-T giving isotropic resolution of 1 mm3. Three Regions of Interest (ROI) were outlined in visually normal white matter on three image slices based on relative distance from the tumor: one peritumoral white matter region and two distant white matter regions on both hemispheres. Volumes of Interest (VOI) were composed from the three slices. Two different calculation approaches for COM were used: i) Classical approach (CCOM) on each individual ROI, and ii) Three Dimensional approach (3DCOM) calculated on VOIs. For, each calculation approach five dynamic ranges (number of greylevels N) were investigated (N = 16, 32, 64, 128, and 256). Results Classification showed that peritumoral white matter always represents a homogenous class, separate from other white matter, regardless of the value of N or the calculation approach used. The best test measures (sensitivity and specificity) for average CCOM were obtained for N = 128. These measures were also optimal for 3DCOM with N = 128, which additionally showed a balanced tradeoff between the measures. Conclusion We conclude that the dynamic range used for COM calculation significantly influences the classification results for identical samples. In order to obtain more reliable classification results with COM, the dynamic range must be optimized to avoid too small or sparse matrices. Larger dynamic ranges for COM calculations do not necessarily give better texture results; they might increase the computation costs and limit the method performance.

Published
2008
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19. Proton NMR visible mobile lipid signals in sensitive and multidrug-resistant K562 cells are modulated by rafts

Author

Leray Geneviève, de Certaines Jacques D, Reungpatthanaphong Paiboon, Mannechez Aurélie, and Le Moyec Laurence

Subjects
Proton Magnetic Resonance Spectroscopy, Multidrug resistance, Mobile lipids, Rafts, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282, Cytology, QH573-671
Abstract

Abstract Background Most cancer cells are characterized by mobile lipids visible on proton NMR (1H-NMR), these being comprised mainly of methyl and methylene signals from lipid acyl chains. Erythroleukemia K562 cells show narrow signals at 1.3 and 0.9 ppm, corresponding to mobile lipids (methylene and methyl, respectively), which are reduced when K562 cells are multidrug resistant (MDR). While the significance of the mobile lipids is unknown, their subcellular localization is still a matter of debate and may lie in the membrane or the cytoplasm. In this study, we investigate the role of cholesterol in the generation of mobile lipid signals. Results The proportion of esterified cholesterol was found to be higher in K562-sensitive cells than in resistant cells, while the total cholesterol content was identical in both cell lines. Cholesterol extraction in the K562 wild type (K562wt) cell line and its MDR counterpart (K562adr), using methyl-β-cyclodextrin, was accompanied by a rise of mobile lipids in K562wt cells only. The absence of caveolae was checked by searching for the caveolin-1 protein in K562wt and K562adr cells. However, cholesterol was enriched in another membrane microdomain designated as "detergent-insoluble glycosphingomyelin complexes" or rafts. These microdomains were studied after extraction with triton X-100, a mild non-ionic detergent, revealing mobile lipid signals preserved only in the K562wt spectra. Moreover, following perturbation/disruption of these microdomains using sphingomyelinase, mobile lipids increased only in K562wt cells. Conclusion These results suggest that cholesterol and sphingomyelin are involved in mobile lipid generation via microdomains of detergent-insoluble glycosphingomyelin complexes such as rafts. Increasing our knowledge of membrane microdomains in sensitive and resistant cell lines may open up new possibilities in resistance reversion.

Published
2005
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21. Proton NMR visible mobile lipid signals in sensitive and multidrug-resistant K562 cells are modulated by rafts

Author

Leray Geneviève, de Certaines Jacques D, Reungpatthanaphong Paiboon, Mannechez Aurélie, and Le Moyec Laurence

Subjects
Rafts, lcsh:Cytology, Mobile lipids, Proton Magnetic Resonance Spectroscopy, lipids (amino acids, peptides, and proteins), lcsh:QH573-671, Multidrug resistance, lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens, Primary Research, lcsh:RC254-282
Abstract

Background Most cancer cells are characterized by mobile lipids visible on proton NMR (1H-NMR), these being comprised mainly of methyl and methylene signals from lipid acyl chains. Erythroleukemia K562 cells show narrow signals at 1.3 and 0.9 ppm, corresponding to mobile lipids (methylene and methyl, respectively), which are reduced when K562 cells are multidrug resistant (MDR). While the significance of the mobile lipids is unknown, their subcellular localization is still a matter of debate and may lie in the membrane or the cytoplasm. In this study, we investigate the role of cholesterol in the generation of mobile lipid signals. Results The proportion of esterified cholesterol was found to be higher in K562-sensitive cells than in resistant cells, while the total cholesterol content was identical in both cell lines. Cholesterol extraction in the K562 wild type (K562wt) cell line and its MDR counterpart (K562adr), using methyl-β-cyclodextrin, was accompanied by a rise of mobile lipids in K562wt cells only. The absence of caveolae was checked by searching for the caveolin-1 protein in K562wt and K562adr cells. However, cholesterol was enriched in another membrane microdomain designated as "detergent-insoluble glycosphingomyelin complexes" or rafts. These microdomains were studied after extraction with triton X-100, a mild non-ionic detergent, revealing mobile lipid signals preserved only in the K562wt spectra. Moreover, following perturbation/disruption of these microdomains using sphingomyelinase, mobile lipids increased only in K562wt cells. Conclusion These results suggest that cholesterol and sphingomyelin are involved in mobile lipid generation via microdomains of detergent-insoluble glycosphingomyelin complexes such as rafts. Increasing our knowledge of membrane microdomains in sensitive and resistant cell lines may open up new possibilities in resistance reversion.

Published
2004

22. Assignment of heme methyl 1H-NMR resonances of high-spin and low-spin ferric complexes of cytochrome P450cam using one-dimensional and two-dimensional paramagnetic signals enhancement (PASE) magnetization transfer experiments

Author

Rondeau-Mouro, Corinne, Bondon, Arnaud, Jung, Christiane, De Certaines, Jacques, Simonneaux, Gérard, Université de Rennes (UR), Organométalliques et catalyse : chimie et électrochimie moléculaires (OCCEM), Université de Rennes (UR)-Centre National de la Recherche Scientifique (CNRS), Max Delbrück Center for Molecular Medicine [Berlin] (MDC), Helmholtz-Gemeinschaft = Helmholtz Association, Laboratoire de résonance magnétique en biologie et en médecine, Université de Rennes (UR)-IFR91, Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES), Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), and Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-IFR91

Subjects
[CHIM]Chemical Sciences, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2000

28. Follow‐up by one‐ and two‐dimensional NMR of plasma from pigs with ischemia‐induced acute liver failure treated with a bioartificial liver

Author

Tréhout, David, primary, Desille, Mireille, additional, Doan, Bich‐Thuy, additional, Mahler, Stephan, additional, Frémond, Benjamin, additional, Mallédant, Yannick, additional, Campion, Jean‐Pierre, additional, Desbois, Jeanne, additional, Beloeil, Jean‐Claude, additional, de Certaines, Jacques, additional, and Clément, Bruno, additional

Published
2002
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