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Abstract #3545

Dataset-Independent Reconstruction of High Angular Resolution Diffusion Sampling Schemes by Generalized Q-Space Imaging

Fang-Cheng Yeh1, Van Jay Wedeen2, Wen-Yih Isaac Tseng1,3

1Center for Optoelectronic Biomedicine, National Taiwan University College of Medicine, Taipei, Taiwan; 2MGH Martinos Center for Biomedical Imaging, Harvard Medical School, Charlestown, MA, USA; 3Department of Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan

We propose a novel q-space imaging method derived from the Fourier transform relationship between the MR signals and diffusion displacement probability density function. The method is featured by being independent of the q-space sampling schemes, such as high angular resolution images (HARDIs) and diffusion spectrum imaging (DSI) grid dataset. The accuracy of the method is examined in comparison with q-ball imaging (QBI) and DSI.