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Abstract #3682

Motion Robust Abdominal Imaging with Complementary Poisson-disc Sampling and Retrospectively Reduced View-sharing

Evan Levine 1,2 , Shreyas Vasanawala 2 , Brian Hargreaves 2 , and Manojkumar Saranathan 2

1 Electrical Engineering, Stanford University, Stanford, CA, United States, 2 Radiology, Stanford University, Stanford, CA, United States

In many imaging scenarios, data is corrupted by motion and signal intensity changes, the exact severity and characteristics of which are not known a priori. To enable motion robust abdominal imaging, we employ a new ky-kz-t sampling trajectory based on complementary Poisson-disc sampling that allows viewsharing to be reduce retrospectively using compressed sensing parallel imaging reconstruction. Like golden angle approaches for radial imaging, the trajectory allows reduced viewsharing data from any of several time frames and temporal footprints chosen retrospectively to be effectively reconstructed. In poor breath holding scenarios, motion-free images can be recovered with schemes that reduce temporal footprint.

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