Active fibers: matching deformable tract templates to diffusion tensor images.

Abstract:

:Reliable quantitative analysis of white matter connectivity in the brain is an open problem in neuroimaging, with common solutions requiring tools for fiber tracking, tractography segmentation and estimation of intersubject correspondence. This paper proposes a novel, template matching approach to the problem. In the proposed method, a deformable fiber-bundle model is aligned directly with the subject tensor field, skipping the fiber tracking step. Furthermore, the use of a common template eliminates the need for tractography segmentation and defines intersubject shape correspondence. The method is validated using phantom DTI data and applications are presented, including automatic fiber-bundle reconstruction and tract-based morphometry.

journal_name

Neuroimage

journal_title

NeuroImage

authors

Eckstein I,Shattuck DW,Stein JL,McMahon KL,de Zubicaray G,Wright MJ,Thompson PM,Toga AW

doi

10.1016/j.neuroimage.2009.01.065

subject

Has Abstract

pub_date

2009-08-01 00:00:00

pages

T82-9

eissn

1053-8119

issn

1095-9572

pii

S1053-8119(09)00113-X

journal_volume

47 Suppl 2

pub_type

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