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Abstract #4418

A New Method for Reconstructing the Orientation Distribution Function in HARDI

Diwei Shi1, Xuesong Li2, Ziyi Pan2, Hua Guo2, and Quanshui Zheng1
1Center for Nano & Micro Mechanics, Tsinghua University, Beijing, China, 2Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China

We propose a novel definition of orientation distribution function (ODF), which also represents diffusion coefficients for non-Gaussian situations, thus ODF has physical meaning. Then an expression is derived to calculate ODF values through diffusion-weighted signals. Next a new HARDI (high angular resolution diffusion imaging) method called “g-OPDT” (grids orientation probability density transform) is designed for practical use. Numerical simulations are performed to verify its accuracy. ISMRM-2015-Tracto-challenge data are used to quantitatively compare g-OPDT with other methods. Results show that g-OPDT has superior performance on most indicators. In-vivo experiments are conducted to show that its glyph representations have less redundant lobes.

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