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Abstract #4025

Boosting the Angular Resolution of Q-Space Imaging Methods by Diffusion ODF Deconvolution

Fang-Cheng Yeh1, Van Jay Wedeen2, Wen-Yih Isaac Tseng3

1Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, United States; 2MGH Martinos Center for Biomedical Imaging, Harvard Medical School, Charlestown, MA, United States; 3Center for Optoelectronic Biomedicine, National Taiwan University College of Medicine, Taipei, Taiwan

We present a deconvolution method that estimates fiber orientation distribution function (ODF) from diffusion ODF. Instead of applying deconvolution on spherical harmonic parameters, the proposed method performs deconvolution on the diffusion ODF directly, thereby extending its applicability to diffusion spectrum imaging (DSI) and generalized q-space imaging (GQI). To test the performance of the proposed method, we applied it to q-ball imaging (QBI), DSI, and GQI, with diffusion weighted images acquired by single-shell, grid, and two-shell sampling schemes, respectively. The result showed that the fiber ODFs obtained by the proposed method presented sharper contours in all tested q-space imaging method.