Skip to Main content Skip to Navigation
Journal articles

Revue des approches de segmentation des lésions de sclérose en plaques dans les séquences conventionnelles IRM

Abstract : Different sets of criteria are currently used for the diagnosis of multiple sclerosis (MS). Some are based on clinical features, while others are related to imaging findings. Among the image processing systems, specific criteria include spatial dissemination of lesions in one image or their temporal dissemination in images acquired at different time points. In addition, the evolution of the lesion load can be used to evaluate treatment efficiency in MS clinical research. Consequently, obtaining a precise segmentation of the MS lesion appears to be crucial. In the literature, a number of semi-automated or completely automated approaches have been proposed enabling a reduction of the inter- and intra-expert variability for manual delineations. A comprehensive state-of-the-art classification of the most representative systems is presented here.
Complete list of metadata

https://hal.inria.fr/inria-00616091
Contributor : Project-Team Asclepios <>
Submitted on : Friday, August 19, 2011 - 7:13:38 PM
Last modification on : Thursday, February 7, 2019 - 4:52:23 PM

Identifiers

  • HAL Id : inria-00616091, version 1

Collections

Citation

Jean-Christophe Souplet, Christine Lebrun, Stéphane Chanalet, Nicholas Ayache, Grégoire Malandain. Revue des approches de segmentation des lésions de sclérose en plaques dans les séquences conventionnelles IRM. Revue Neurologique, Elsevier Masson, 2009, 165 (1), pp.7--14. ⟨inria-00616091⟩

Share

Metrics

Record views

279