Active fibers: Matching deformable tract templates to diffusion tensor images

Eckstein, I., Shattuck, D. W., Stein, J. L., McMahon, K. L., de Zubicaray, G., Wright, M. J., Thompson, P. M., & Toga, A. W. (2009) Active fibers: Matching deformable tract templates to diffusion tensor images. NeuroImage, 47(SUPPL.), T82-T89.

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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. © 2009 Elsevier Inc. All rights reserved.

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10 citations in Scopus
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10 citations in Web of Science®

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ID Code: 85763
Item Type: Journal Article
Refereed: Yes
Keywords: Deformable curve evolution, Diffusion tensor imaging, DTI tractography, Template matching
DOI: 10.1016/j.neuroimage.2009.01.065
ISSN: 1095-9572
Divisions: Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
Copyright Owner: Copyright 2009 Elsevier BV
Deposited On: 25 Aug 2015 03:29
Last Modified: 01 Sep 2015 22:14

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