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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