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Abstract #4446

FAST MOTION-COMPENSATED ODF RECONSTRUCTION FROM UNDER-SAMPLED MULTI-CHANNEL MULTI-SHOT NON-CARTESIAN DIFFUSION IMAGING DATA AT HIGH ANGULAR AND SPATIAL RESOLUTION

Merry Mani 1 , Mathews Jacob 2 , Vincent Magnotta 2 , and Jianhui Zhong 1

1 University of Rochester, Rochester, NY, United States, 2 University of Iowa, Iowa, United States

Applications such as the study of human brain connectivity and pre-surgical planning can greatly benefit from high angular and spatial resolution diffusion data. Non-Cartesian multi-shot diffusion imaging schemes can offer high spatial resolution diffusion images. Coupled with high angular resolution schemes, it can enable the reconstruction of high fidelity fiber tracts. However, non-Cartesian multi-shot image reconstruction can be prohibitively time-consuming because of the need to account for motion-induced phase terms in the reconstruction to avoid motion artifacts. A fast reconstruction scheme is proposed using a PCA-based approximation, to accelerate the motion-compensated reconstruction of high angular and spatial resolution diffusion data.

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