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Proceedings Paper

Scalable brain network construction on white matter fibers
Author(s): Moo K. Chung; Nagesh Adluru; Kim M. Dalton; Andrew L. Alexander; Richard J. Davidson
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Paper Abstract

DTI offers a unique opportunity to characterize the structural connectivity of the human brain non-invasively by tracing white matter fiber tracts. Whole brain tractography studies routinely generate up to half million tracts per brain, which serves as edges in an extremely large 3D graph with up to half million edges. Currently there is no agreed-upon method for constructing the brain structural network graphs out of large number of white matter tracts. In this paper, we present a scalable iterative framework called the ε-neighbor method for building a network graph and apply it to testing abnormal connectivity in autism.

Paper Details

Date Published: 15 March 2011
PDF: 6 pages
Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 79624G (15 March 2011); doi: 10.1117/12.874245
Show Author Affiliations
Moo K. Chung, Waisman Lab. for Brain Imaging and Behavior, Univ. of Wisconsin-Madison (United States)
Univ. of Wisconsin-Madison (United States)
Seoul National Univ. (Korea, Republic of)
Nagesh Adluru, Waisman Lab. for Brain Imaging and Behavior, Univ. of Wisconsin-Madison (United States)
Kim M. Dalton, Waisman Lab. for Brain Imaging and Behavior, Univ. of Wisconsin-Madison (United States)
Andrew L. Alexander, Waisman Lab. for Brain Imaging and Behavior, Univ. of Wisconsin-Madison (United States)
Univ. of Wisconsin-Madison (United States)
Richard J. Davidson, Waisman Lab. for Brain Imaging and Behavior, Univ. of Wisconsin-Madison (United States)
Univ. of Wisconsin-Madison (United States)


Published in SPIE Proceedings Vol. 7962:
Medical Imaging 2011: Image Processing
Benoit M. Dawant; David R. Haynor, Editor(s)

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