Abstract #3806
Respiratory Phase Compressed Sensing Reconstruction using Highly Under-sampled Stack-of-stars Radial Acquisition
Bo Li 1,2 , Cihat Eldeniz 1 , Jue Zhang 2,3 , Jing Fang 2,3 , and Hongyu An 1
1
Biomedical Research Imaging Center,
Department of Radiology, School of Medicine, The
University of North Carolina at Chapel Hill, Chapel
Hill, North Carolina, United States,
2
College
of Engineering, Peking University, Beijing, China,
3
Academy
for Advanced Interdisciplinary Studies, Peking
University, Beijing, China
We proposed a compressed sensing reconstruction method
that utilizes neighboring respiration phases as
constrain to minimize image reconstruction artifacts
using highly under-sampled stack-of-stars acquisition.
In vivo results show the promise of the approach.
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