Abstract #2816
A New Linear Transform Approach for Estimating ODFs from Multi-Shell Diffusion Data
Divya Varadarajan 1 and Justin P Haldar 1
1
Electrical Engineering, University of
Southern California, Los Angeles, California, United
States
The Funk-Radon and Cosine Transform (FRACT) is a recent
linear method for estimating orientation distribution
functions (ODFs) from single-shell diffusion MRI data.
Compared to previous single-shell ODF estimation
techniques, the FRACT offers predictable performance,
strong theoretical characterization, and does not
require any tissue modeling assumptions (that can
confound nonlinear ODF estimation methods when the
modeling assumptions are violated). In this work, we
propose an extension of FRACT for multi-shell diffusion
MRI (MS-FRACT). We show theoretically and empirically
that MS-FRACT yields more accurate ODF estimates than
conventional FRACT, while still being predictable with
strong theoretical characterization, and without
requiring tissue-modeling assumptions.
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