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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