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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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