Active fibers: Matching deformable tract templates to diffusion tensor images

Eckstein, Ilya, Shattuck, David W., Stein, Jason L., McMahon, Katie L., de Zubicaray, Grieg, Wright, Margaret J., Thompson, Paul M. and Toga, Arthur W. (2009). Active fibers: Matching deformable tract templates to diffusion tensor images. In: Babek Kateb, Neuroimage; International Brain Mapping & Intraoperative Surgical Planning Society (IBMISPS). 5th World Congress of the International Brain Mapping & Intraoperative Surgical Planning Society (IBMISPS) : 5th annual World Congress of IBMISPS: Breaking Boundaries to Shape the Future, California, U.S., (T82-T89). 26–29 August 2008.


Author Eckstein, Ilya
Shattuck, David W.
Stein, Jason L.
McMahon, Katie L.
de Zubicaray, Grieg
Wright, Margaret J.
Thompson, Paul M.
Toga, Arthur W.
Title of paper Active fibers: Matching deformable tract templates to diffusion tensor images
Conference name 5th World Congress of the International Brain Mapping & Intraoperative Surgical Planning Society (IBMISPS) : 5th annual World Congress of IBMISPS: Breaking Boundaries to Shape the Future
Conference location California, U.S.
Conference dates 26–29 August 2008
Proceedings title Neuroimage; International Brain Mapping & Intraoperative Surgical Planning Society (IBMISPS)   Check publisher's open access policy
Journal name Neuroimage   Check publisher's open access policy
Place of Publication San Diego, U.S. ; Sydney, Australia
Publisher Elsevier : Academic Press
Publication Year 2009
Sub-type Fully published paper
DOI 10.1016/j.neuroimage.2009.01.065
ISSN 1053-8119
Editor Babek Kateb
Volume 47
Issue Supp. 2
Start page T82
End page T89
Total pages 8
Collection year 2010
Language eng
Abstract/Summary 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.
Subjects 11 Medical and Health Sciences
1103 Clinical Sciences
110320 Radiology and Organ Imaging
C1
Keyword Diffusion tensor imaging
DTI tractography
Template matching
Deformable curve evolution
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

 
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Created: Fri, 04 Sep 2009, 10:20:54 EST