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Abstract #0897

Investigation of asymmetric undersampling scheme in accelerated flow imaging for improving velocity and turbulence kinetic energy estimation

Kyoung-Jin Park1,2, Ho-Jin Ha3, Dong-Hyun Yang2, Kang-Hyun Ryu4, Jae-Hun Lee1, and Dong-Hyun Kim1
1Electrical & Electronic Engineering, Yonsei university, Seoul, Korea, Republic of, 2Radiology (Cardiovascular Imaging), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea, Republic of, 3Department of Mechanical and Biomedical Engineering, Kangwon National University, GANGWON-DO, Korea, Republic of, 4Radiology, Stanford University, Stanford, CA, United States


Compressed sensing (CS) technique has recently been used to accelerate long acquisition time in 4D Flow. However, it aggravates underestimation in velocity calculation and overestimation in turbulent kinetic energy (TKE) estimation, when under-sampling is applied. An asymmetric undersampling scheme method of the reference image and velocity encoding images could alleviate problems. The purpose of this paper is investigation of improving velocity and turbulence kinetic energy estimation with an asymmetric reduction for two motion encoding schemes (i.e., conventional 4D Flow vs ICOSA6 Flow)

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