Abstract #4597

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

Chaehyuk Im¹, Seungbin Ko¹, Jeesoo Lee^1,2, Jee-Hyun Cho³, Doosang Kim⁴, Sang Hyung Lee⁵, and Simon Song^1,2

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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