Active fibers: Matching deformable tract templates to diffusion tensor images

被引：15

作者：

Eckstein, Ilya ^{[1
]}

Shattuck, David W. ^{[1
]}

Stein, Jason L. ^{[1
]}

McMahon, Katie L. ^{[2
]}

de Zubicaray, Greig ^{[2
]}

Wright, Margaret J. ^{[3
]}

Thompson, Paul M. ^{[1
]}

Toga, Arthur W. ^{[1
]}

机构：

[1] Univ Calif Los Angeles, David Geffen Sch Med, Dept Neurol, Lab Neuro Imaging, Los Angeles, CA 90095 USA

[2] Univ Queensland, Ctr Magnet Resonance, Funct MRI Lab, Brisbane, Qld, Australia

[3] Queensland Inst Med Res, Brisbane, Qld 4006, Australia

来源：

NEUROIMAGE | 2009年 / 47卷

关键词：

Diffusion tensor imaging; DTI tractography; Template matching; Deformable curve evolution; HUMAN BRAIN; MATTER; TRACKING; BUNDLE; MAPS;

D O I：

10.1016/j.neuroimage.2009.01.065

中图分类号：

Q189 [神经科学];

学科分类号：

071006 ;

摘要：

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. (C) 2009 Elsevier Inc. All rights reserved.

引用

页码：T82 / T89

页数：8

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