A Sensitive and Automatic White Matter Fiber Tracts Model for Longitudinal Analysis of Diffusion Tensor Images in Multiple Sclerosis
Identifieur interne : 000374 ( Main/Exploration ); précédent : 000373; suivant : 000375A Sensitive and Automatic White Matter Fiber Tracts Model for Longitudinal Analysis of Diffusion Tensor Images in Multiple Sclerosis
Auteurs : Claudio Stamile [France] ; Gabriel Kocevar [France] ; François Cotton [France] ; Françoise Durand-Dubief [France] ; Salem Hannoun [France] ; Carole Frindel [France] ; Charles R. G. Guttmann [États-Unis] ; David Rousseau [France] ; Dominique Sappey-Marinier [France]Source :
- PLoS ONE [ 1932-6203 ] ; 2016.
Abstract
Diffusion tensor imaging (DTI) is a sensitive tool for the assessment of microstructural alterations in brain white matter (WM). We propose a new processing technique to detect, local and global longitudinal changes of diffusivity metrics, in homologous regions along WM fiber-bundles. To this end, a reliable and automatic processing pipeline was developed in three steps: 1) co-registration and diffusion metrics computation, 2) tractography, bundle extraction and processing, and 3) longitudinal fiber-bundle analysis. The last step was based on an original Gaussian mixture model providing a fine analysis of fiber-bundle cross-sections, and allowing a sensitive detection of longitudinal changes along fibers. This method was tested on simulated and clinical data. High levels of F-Measure were obtained on simulated data. Experiments on cortico-spinal tract and inferior fronto-occipital fasciculi of five patients with Multiple Sclerosis (MS) included in a weekly follow-up protocol highlighted the greater sensitivity of this fiber scale approach to detect small longitudinal alterations.
Url:
DOI: 10.1371/journal.pone.0156405
PubMed: 27224308
PubMed Central: 4880200
Affiliations:
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wicri:level="3"><nlm:aff id="aff001"><addr-line>CREATIS CNRS UMR5220 & INSERM U1044, Université de Lyon, Université Claude Bernard-Lyon 1, INSA-Lyon, Villeurbanne, France</addr-line></nlm:aff><country xml:lang="fr">France</country><wicri:regionArea>CREATIS CNRS UMR5220 & INSERM U1044, Université de Lyon, Université Claude Bernard-Lyon 1, INSA-Lyon, Villeurbanne</wicri:regionArea><placeName><region type="region" nuts="2">Auvergne-Rhône-Alpes</region><region type="old region" nuts="2">Rhône-Alpes</region><settlement type="city">Villeurbanne</settlement><settlement type="city" wicri:auto="agglo">Lyon</settlement></placeName></affiliation></author><author><name sortKey="Kocevar, Gabriel" sort="Kocevar, Gabriel" uniqKey="Kocevar G" first="Gabriel" last="Kocevar">Gabriel Kocevar</name><affiliation wicri:level="3"><nlm:aff id="aff001"><addr-line>CREATIS CNRS UMR5220 & INSERM U1044, Université de Lyon, Université Claude Bernard-Lyon 1, INSA-Lyon, Villeurbanne, 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Bron</wicri:regionArea><wicri:noRegion>Bron</wicri:noRegion><wicri:noRegion>Bron</wicri:noRegion></affiliation></author><author><name sortKey="Hannoun, Salem" sort="Hannoun, Salem" uniqKey="Hannoun S" first="Salem" last="Hannoun">Salem Hannoun</name><affiliation wicri:level="3"><nlm:aff id="aff001"><addr-line>CREATIS CNRS UMR5220 & INSERM U1044, Université de Lyon, Université Claude Bernard-Lyon 1, INSA-Lyon, Villeurbanne, France</addr-line></nlm:aff><country xml:lang="fr">France</country><wicri:regionArea>CREATIS CNRS UMR5220 & INSERM U1044, Université de Lyon, Université Claude Bernard-Lyon 1, INSA-Lyon, Villeurbanne</wicri:regionArea><placeName><region type="region" nuts="2">Auvergne-Rhône-Alpes</region><region type="old region" nuts="2">Rhône-Alpes</region><settlement type="city">Villeurbanne</settlement><settlement type="city" wicri:auto="agglo">Lyon</settlement></placeName></affiliation></author><author><name sortKey="Frindel, Carole" sort="Frindel, Carole" uniqKey="Frindel C" first="Carole" last="Frindel">Carole Frindel</name><affiliation wicri:level="3"><nlm:aff id="aff001"><addr-line>CREATIS CNRS UMR5220 & INSERM U1044, Université de Lyon, Université Claude Bernard-Lyon 1, INSA-Lyon, Villeurbanne, France</addr-line></nlm:aff><country xml:lang="fr">France</country><wicri:regionArea>CREATIS CNRS UMR5220 & INSERM U1044, Université de Lyon, Université Claude Bernard-Lyon 1, INSA-Lyon, Villeurbanne</wicri:regionArea><placeName><region type="region" nuts="2">Auvergne-Rhône-Alpes</region><region type="old region" nuts="2">Rhône-Alpes</region><settlement type="city">Villeurbanne</settlement><settlement type="city" wicri:auto="agglo">Lyon</settlement></placeName></affiliation></author><author><name sortKey="Guttmann, Charles R G" sort="Guttmann, Charles R G" uniqKey="Guttmann C" first="Charles R. G." last="Guttmann">Charles R. G. Guttmann</name><affiliation wicri:level="2"><nlm:aff id="aff004"><addr-line>Center for Neurological Imaging, Departments of Radiology and Neurology, Brigham and Women’s Hospital, Boston, MA, United States of America</addr-line></nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Center for Neurological Imaging, Departments of Radiology and Neurology, Brigham and Women’s Hospital, Boston, MA</wicri:regionArea><placeName><region type="state">Massachusetts</region></placeName></affiliation></author><author><name sortKey="Rousseau, David" sort="Rousseau, David" uniqKey="Rousseau D" first="David" last="Rousseau">David Rousseau</name><affiliation wicri:level="3"><nlm:aff id="aff001"><addr-line>CREATIS CNRS UMR5220 & INSERM U1044, Université de Lyon, Université Claude Bernard-Lyon 1, INSA-Lyon, Villeurbanne, France</addr-line></nlm:aff><country xml:lang="fr">France</country><wicri:regionArea>CREATIS CNRS UMR5220 & INSERM U1044, Université de Lyon, Université Claude Bernard-Lyon 1, INSA-Lyon, Villeurbanne</wicri:regionArea><placeName><region type="region" nuts="2">Auvergne-Rhône-Alpes</region><region type="old region" nuts="2">Rhône-Alpes</region><settlement type="city">Villeurbanne</settlement><settlement type="city" wicri:auto="agglo">Lyon</settlement></placeName></affiliation></author><author><name sortKey="Sappey Marinier, Dominique" sort="Sappey Marinier, Dominique" uniqKey="Sappey Marinier D" first="Dominique" last="Sappey-Marinier">Dominique Sappey-Marinier</name><affiliation wicri:level="3"><nlm:aff id="aff001"><addr-line>CREATIS CNRS UMR5220 & INSERM U1044, Université de Lyon, Université Claude Bernard-Lyon 1, INSA-Lyon, Villeurbanne, France</addr-line></nlm:aff><country xml:lang="fr">France</country><wicri:regionArea>CREATIS CNRS UMR5220 & INSERM U1044, Université de Lyon, Université Claude Bernard-Lyon 1, INSA-Lyon, Villeurbanne</wicri:regionArea><placeName><region type="region" nuts="2">Auvergne-Rhône-Alpes</region><region type="old region" nuts="2">Rhône-Alpes</region><settlement type="city">Villeurbanne</settlement><settlement type="city" wicri:auto="agglo">Lyon</settlement></placeName></affiliation><affiliation wicri:level="1"><nlm:aff id="aff005"><addr-line>CERMEP - Imagerie du Vivant, Université de Lyon, Bron, France</addr-line></nlm:aff><country xml:lang="fr">France</country><wicri:regionArea>CERMEP - Imagerie du Vivant, Université de Lyon, Bron</wicri:regionArea><wicri:noRegion>Bron</wicri:noRegion><wicri:noRegion>Bron</wicri:noRegion></affiliation></author></analytic><series><title level="j">PLoS ONE</title><idno type="eISSN">1932-6203</idno><imprint><date when="2016">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>Diffusion tensor imaging (DTI) is a sensitive tool for the assessment of microstructural alterations in brain white matter (WM). We propose a new processing technique to detect, local and global longitudinal changes of diffusivity metrics, in homologous regions along WM fiber-bundles. To this end, a reliable and automatic processing pipeline was developed in three steps: 1) co-registration and diffusion metrics computation, 2) tractography, bundle extraction and processing, and 3) longitudinal fiber-bundle analysis. The last step was based on an original Gaussian mixture model providing a fine analysis of fiber-bundle cross-sections, and allowing a sensitive detection of longitudinal changes along fibers. This method was tested on simulated and clinical data. High levels of F-Measure were obtained on simulated data. Experiments on cortico-spinal tract and inferior fronto-occipital fasciculi of five patients with Multiple Sclerosis (MS) included in a weekly follow-up protocol highlighted the greater sensitivity of this fiber scale approach to detect small longitudinal alterations.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Compston, A" uniqKey="Compston A">A Compston</name></author><author><name sortKey="Coles, A" uniqKey="Coles A">A Coles</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Basser, Pj" uniqKey="Basser P">PJ Basser</name></author><author><name sortKey="Mattiello, J" uniqKey="Mattiello J">J Mattiello</name></author><author><name sortKey="Lebihan, D" uniqKey="Lebihan D">D LeBihan</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Rovaris, M" uniqKey="Rovaris M">M Rovaris</name></author><author><name sortKey="Gass, A" uniqKey="Gass A">A 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M" uniqKey="Caffini M">M Caffini</name></author><author><name sortKey="Tortorella, P" uniqKey="Tortorella P">P Tortorella</name></author><author><name sortKey="Baglio, F" uniqKey="Baglio F">F Baglio</name></author></analytic></biblStruct></listBibl></div1></back></TEI><affiliations><list><country><li>France</li><li>États-Unis</li></country><region><li>Auvergne-Rhône-Alpes</li><li>Massachusetts</li><li>Rhône-Alpes</li></region><settlement><li>Lyon</li><li>Villeurbanne</li></settlement></list><tree><country name="France"><region name="Auvergne-Rhône-Alpes"><name sortKey="Stamile, Claudio" sort="Stamile, Claudio" uniqKey="Stamile C" first="Claudio" last="Stamile">Claudio Stamile</name></region><name sortKey="Cotton, Francois" sort="Cotton, Francois" uniqKey="Cotton F" first="François" last="Cotton">François Cotton</name><name sortKey="Cotton, Francois" sort="Cotton, Francois" uniqKey="Cotton F" first="François" last="Cotton">François Cotton</name><name sortKey="Durand Dubief, Francoise" sort="Durand Dubief, Francoise" uniqKey="Durand Dubief F" first="Françoise" last="Durand-Dubief">Françoise Durand-Dubief</name><name sortKey="Durand Dubief, Francoise" sort="Durand Dubief, Francoise" uniqKey="Durand Dubief F" first="Françoise" last="Durand-Dubief">Françoise Durand-Dubief</name><name sortKey="Frindel, Carole" sort="Frindel, Carole" uniqKey="Frindel C" first="Carole" last="Frindel">Carole Frindel</name><name sortKey="Hannoun, Salem" sort="Hannoun, Salem" uniqKey="Hannoun S" first="Salem" last="Hannoun">Salem Hannoun</name><name sortKey="Kocevar, Gabriel" sort="Kocevar, Gabriel" uniqKey="Kocevar G" first="Gabriel" last="Kocevar">Gabriel Kocevar</name><name sortKey="Rousseau, David" sort="Rousseau, David" uniqKey="Rousseau D" first="David" last="Rousseau">David Rousseau</name><name sortKey="Sappey Marinier, Dominique" sort="Sappey Marinier, Dominique" uniqKey="Sappey Marinier D" first="Dominique" last="Sappey-Marinier">Dominique Sappey-Marinier</name><name sortKey="Sappey Marinier, Dominique" sort="Sappey Marinier, Dominique" uniqKey="Sappey Marinier D" first="Dominique" last="Sappey-Marinier">Dominique Sappey-Marinier</name></country><country name="États-Unis"><region name="Massachusetts"><name sortKey="Guttmann, Charles R G" sort="Guttmann, Charles R G" uniqKey="Guttmann C" first="Charles R. G." last="Guttmann">Charles R. G. Guttmann</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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