Meeting Banner
Abstract #0771

Estimation of White Matter Fiber Orientations with the Funk-Radon and Cosine Transform

Justin P. Haldar1, David W. Shattuck2, Richard M. Leahy1

1Signal and Image Processing Institute, University of Southern California, Los Angeles, CA, United States; 2Laboratory of Neuro Imaging, University of California, Los Angeles, CA, United States

Tractography methods depend on estimating orientation distribution functions (ODFs) from diffusion MRI data. This work evaluates the performance of a new ODF estimation method known as the Funk-Radon and Cosine Transform (FRACT). The FRACT is a linear transformation technique for spherically-sampled q-space data that generalizes the previous Funk-Radon Transform (FRT). It estimates the constant solid angle ODF, can be characterized theoretically, can be computed efficiently, and substantially outperforms the FRT. This work compares the FRACT to existing ODF estimation methods with simulated and real data. Results demonstrate that the FRACT can be a powerful tool for MR tractography applications.

Abstract PDF Presentation Video

Keywords

able accuracy accurate addition adjusted adult advantage angular applied applying approximate approximates approximation assumed assumptions attributed available ball body brain called characteristics characterize characterized choice choose colored combined computed computing constant constrained cosine create crossing deconvolution defined definition delta depend derivations diffusion distribution easier easily easy enable enabled ensemble error estimation evaluated evaluates extends fact fiber fibers fibrous free frequently function functions funk generalizes good gradient hand harmonic healthy heterogeneous idea identification illustrating improved improving in vivo inaccuracies infer institute introduced isolated kernel kernels laboratory larger linear literature make material materials measured model modeling models negativity nonlinear numerical offers orientation orientations package part particular peaks performance phantom plotted powerful predict presence previous processing propagator proposed radon real recently represent representation resolution respect response restricted satisfied scanner several sharp sharper since software solid southern space sphere spherical substantially summarizes super supporting theoretically though tool tools tracking transform true types various visualized white whole yield