@article{4ba533730d2f41408ed4579e17ad285f,
title = "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.",
keywords = "DTI tractography, Deformable curve evolution, Diffusion tensor imaging, Template matching",
author = "Ilya Eckstein and Shattuck, {David W.} and Stein, {Jason L.} and McMahon, {Katie L.} and {de Zubicaray}, Greig and Wright, {Margaret J.} and Thompson, {Paul M.} and Toga, {Arthur W.}",
note = "Funding Information: This work is funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 RR021813. Information on the National Centers for Biomedical Computing can be obtained from http://nihroadmap.nih.gov/bioinformatics . The authors are also thankful to Nathan Hageman for his DTI phantom data, as well as to Yonggang Shi and Boris Gutman for sharing their processing tools. Additional support was provided by the National Institute of Child Health and Human Development (RO1 HD050735), and the National Health and Medical Research Council, Australia (Grant 496682). ",
year = "2009",
month = aug,
doi = "10.1016/j.neuroimage.2009.01.065",
language = "English",
volume = "47",
pages = "T82--T89",
journal = "NeuroImage",
issn = "1053-8119",
publisher = "Academic Press Inc.",
number = "SUPPL. 2",
}