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Abstract #0772

Toward high-SNR, motion-robust diffusion MRI of the liver using optimized gradient waveforms, non-gated free-breathing acquisitions, and motion-corrected averaging

Ruiqi Geng1,2, Yuxin Zhang1,2, Huiwen Luo3,4, and Diego Hernando1,2

1Radiology, University of Wisconsin, Madison, Madison, WI, United States, 2Medical Physics, University of Wisconsin, Madison, Madison, WI, United States, 3Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 4Institute of Imaging Science, Vanderbilt University, Nashville, TN, United States

Liver DWI suffers from signal voids introduced by elastic motion, mis-registration due to respiratory motion and low SNR. We propose to develop and evaluate a novel free-breathing DWI technique appropriate for the abdomen, in order to provide high SNR efficiency with predictable scan times, while avoiding motion-related artifacts. Evaluations showed that compared to respiratory-triggering acquisitions, the proposed DWI technique provided higher SNR and predictable scan times. Further, a motion-corrected averaging algorithm has the potential to correct for motion-related artifacts. Using optimized gradient waveforms, non-gated free-breathing acquisitions, and motion-corrected averaging techniques, high-SNR and motion-robust DWI of the liver may be achieved.

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