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Evaluation of automated techniques for the quantification of grey matter atrophy in patients with multiple sclerosis.

Abstract：

:Several methods exist and are frequently used to quantify grey matter (GM) atrophy in multiple sclerosis (MS). Fundamental to all available techniques is the accurate segmentation of GM in the brain, a difficult task confounded even further by the pathology present in the brains of MS patients. In this paper, we examine the segmentations of six different automated techniques and compare them to a manually defined reference standard. Results demonstrate that, although the algorithms perform similarly to manual segmentations of cortical GM, severe shortcomings are present in the segmentation of deep GM structures. This deficiency is particularly relevant given the current interest in the role of GM in MS and the numerous reports of atrophy in deep GM structures.

journal_name

Neuroimage

journal_title

NeuroImage

authors

Derakhshan M,Caramanos Z,Giacomini PS,Narayanan S,Maranzano J,Francis SJ,Arnold DL,Collins DL

doi

10.1016/j.neuroimage.2010.05.029

subject

Has Abstract

pub_date

2010-10-01 00:00:00

pages

1261-7

issue

4

eissn

1053-8119

issn

1095-9572

pii

S1053-8119(10)00761-5

journal_volume

52

pub_type

杂志文章

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