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
Biomedical Research Imaging Center,
Department of Radiology, School of Medicine, The
University of North Carolina at Chapel Hill, Chapel
Hill, North Carolina, United States,
of Engineering, Peking University, Beijing, China,
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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