Abstract #2099

Comparison of turbulent flow based on 4D flow encoding versus icosahedral flow encoding using compressed sensing

Kyoung-Jin Park^1,2, Ho-Jin Ha³, Kang-Hyun Ryu⁴, Yang-Dong Hyun², and Dong-Hyun Kim¹

¹Electrical & Electronic Engineering, Yonsei University, SEOUL, Korea, Republic of, ²Radiology (Cardiovascular Imaging), University of Ulsan College of Medicine, Asan Medical Center, SEOUL, Korea, Republic of, ³Mechanical and Biomedical Engineering, Kangwon University, Chooncheon, Kangwon-do, Korea, Republic of, ⁴Radiology, Stanford University, Stanford, CA, United States

Compressed sensing (CS) technique has recently been used to accelerated long acquisition time in 4D Flow. However, signal loss from turbulent flow could be problematic when CS method is applied. Signal drop may further aggravate denoising and make error in 4D Flow reconstruction. Using CS technique, we investigated the correlation between velocity error and turbulent flow, TKE estimation error for two motion encoding schemes (i.e., conventional 4D Flow vs ICOSA6).

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