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Abstract #4597

Wall-bounded Divergence-free Smoothing for Denoising of Velocity Data Measured by 4D Flow MRI

Chaehyuk Im1, Seungbin Ko1, Jeesoo Lee1,2, Jee-Hyun Cho3, Doosang Kim4, Sang Hyung Lee5, and Simon Song1,2

1Dept. of Mechanical Engineering, Hanyang University, Seoul, Korea, Republic of, 2Institute of Nano Science and Technology, Hanyang University, Seoul, Korea, Republic of, 3Bioimaging Research Team, Korea Basic Science Institute, Cheongju, Korea, Republic of, 4Thoracic and Cardio-vascular Surgery, Veterans Health Service Medical Center, Seoul, Korea, Republic of, 5Neurosurgery, SMG-SNU Boramae Medical Center, Seoul, Korea, Republic of

Flow data measured by 4D flow MRI often result in inaccurate wall shear stress estimation due to near-wall noise in velocity measurements. We propose wall-bounded divergence-free smoothing (WB-DFS) to denoise the flow data. This method minimizes a residual error under the divergence-free condition for a wall-bounded flow and simultaneously performs data smoothing. The denoising performance of WB-DFS was found to be the best among methods reported in literature. For example, the divergence of the velocity field was reduced by 95.6%. This method is expected to be helpful in accurately estimating wall shear stress in a vascular flow imaging.

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