Meeting Banner
Abstract #2975

Multiple Sclerosis Clinical Classification Based on DTI Fiber Analysis

Claudio Stamile 1 , Gabriel Kocevar 1 , Franoise Durand-Dubief 1,2 , Franois Cotton 1,3 , Carole Frindel 1 , Salem Hannoun 1 , and Dominique Sappey-Marinier 1,4

1 CREATIS (CNRS UMR5220 & INSERM U1044), Universit Lyon 1, INSA-Lyon, Villeurbanne, France, 2 Service de Neurologie A, Hpital Neurologique, Hospices Civils de Lyon, Bron, France, 3 Service de Radiologie, Centre Hospitalier Lyon-Sud, Hospices Civils de Lyon, Pierre-Benite, France, 4 CERMEP - Imagerie du Vivant, Universit de Lyon, Bron, France

In this work, we present a fully automated SVM method for subject classification in three groups: healthy control subjects, relapsing-remitting and primary progressive Multiple Sclerosis (MS) patients based on the diffusion information obtained from several WM fiber bundles. The classification performance results suggest that each WM fiber bundle contributes differently to the classification of the MS clinical form. Moreover, we show that the classification result depends on the diffusion metrics used to study the fiber bundle. This result could be useful to identify a specific diffusion metric that better characterizes the WM fiber bundle.

This abstract and the presentation materials are available to members only; a login is required.

Join Here