Abstract #2892
Novel Single and Multiple Shell Gradient Sampling Schemes for Diffusion MRI Using Spherical Codes
Jian Cheng 1,2 , Dinggang Shen 3 , Pew-Thian Yap 3 , and Peter Basser 1
1
Section on Tissue Biophysics and Biomimetics
(STBB), PPITS, NICHD, NIH, Bethesda, MD, United States,
2
The
Intramural Research Program (IRP), NIBIB, Bethesda, MD,
United States,
3
Department
of Radiology and BRIC, The University of North Carolina
at Chapel Hill, NC, United States
In this abstract, we propose two novel algorithms based
on the spherical code concept, i.e., Iterative Maximum
Overlap Construction (IMOC) to generate a sampling
scheme from discretized sphere, and a constrained
non-linear optimization (CNLO) method to update a given
initial scheme on a continuous sphere. Compared with the
state-of-the-art methods based on spherical code and
electrostatic energy minimization, the sampling schemes
by the proposed methods yield larger angular separations
in shells and better rotational invariance.
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