Scalable brain network construction on white matter fibers

Moo K. Chung; Nagesh Adluru; Kim M. Dalton; Andrew L. Alexander; Richard J. Davidson

doi:10.1117/12.874245

15 March 2011 Scalable brain network construction on white matter fibers

Moo K. Chung, Nagesh Adluru, Kim M. Dalton, Andrew L. Alexander, Richard J. Davidson

Proceedings Volume 7962, Medical Imaging 2011: Image Processing; 79624G (2011) https://doi.org/10.1117/12.874245
Event: SPIE Medical Imaging, 2011, Lake Buena Vista (Orlando), Florida, United States

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.

Citation Download Citation

Moo K. Chung, Nagesh Adluru, Kim M. Dalton, Andrew L. Alexander, and Richard J. Davidson "Scalable brain network construction on white matter fibers", Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 79624G (15 March 2011); https://doi.org/10.1117/12.874245

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