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Medical Imaging 2011: Image Processing

DOI: 10.1117/12.874245

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Scalable Brain Network Construction on White Matter Fibers

Journal article published in 2011 by Moo K. Chung, Nagesh Adluru, Kim M. Dalton, Andrew L. Alexander, Richard J. Davidson ORCID
This paper is available in a repository.
This paper is available in a repository.

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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.