Revue des approches de segmentation des lésions de sclérose en plaques dans les séquences conventionnelles IRM - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Journal Articles Revue Neurologique Year : 2009

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.
No file

Dates and versions

inria-00616091 , version 1 (19-08-2011)

Identifiers

  • HAL Id : inria-00616091 , version 1

Cite

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, 2009, 165 (1), pp.7--14. ⟨inria-00616091⟩
126 View
0 Download

Share

Gmail Facebook X LinkedIn More