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Direct segmentation of the major white matter tracts in diffusion tensor images.

Abstract：

:Diffusion-weighted images of the human brain are acquired more and more routinely in clinical research settings, yet segmenting and labeling white matter tracts in these images is still challenging. We present in this paper a fully automated method to extract many anatomical tracts at once on diffusion tensor images, based on a Markov random field model and anatomical priors. The approach provides a direct voxel labeling, models explicitly fiber crossings and can handle white matter lesions. Experiments on simulations and repeatability studies show robustness to noise and reproducibility of the algorithm, which has been made publicly available.

journal_name

Neuroimage

journal_title

NeuroImage

authors

Bazin PL,Ye C,Bogovic JA,Shiee N,Reich DS,Prince JL,Pham DL

doi

10.1016/j.neuroimage.2011.06.020

subject

Has Abstract

pub_date

2011-09-15 00:00:00

pages

458-68

issue

2

eissn

1053-8119

issn

1095-9572

pii

S1053-8119(11)00638-0

journal_volume

58

pub_type

杂志文章

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