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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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