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Abstract #3046

Resolving Diffusion Compartments Using Single-Shell Data via Estimation with Enhanced Sparsity

Pew-Thian Yap 1 , Yong Zhang 2 , and Dinggang Shen 1

1 Department of Radiology, University of North Carolina, Chapel Hill, North Carolina, United States, 2 Department of Psychiatry & Behavioral Sciences, Stanford University, California, United States

We propose a method to automatically determine the parameters for white matter, gray matter, and cerebrospinal fluid response functions and to use these response functions in teasing apart different diffusion compartments and in estimating the fiber orientation distribution function. We show in this abstract that with the enhanced sparsity given by L0-norm regularization, resolving the diffusion compartments can be achieved by using single-shell data in addition to the baseline scans with no diffusion weighting. Our results indicate that even with the currently vastly available single-shell data, FODF estimation can be improved by proper signal compartmentalization.

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