Abstract #0897

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

Kyoung-Jin Park^1,2, 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

Synopsis

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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