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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