자기공명유속계 (MRV) 에서 3차원 다중경로 선적분법을 활용한 비침습적 압력예측 방법 개발Development of Non-Invasive Pressure Estimation Using 3D Multi-Path Line Integration Method from Magnetic Resonance Velocimetry (MRV)
- Other Titles
- Development of Non-Invasive Pressure Estimation Using 3D Multi-Path Line Integration Method from Magnetic Resonance Velocimetry (MRV)
- Authors
- 무함마드 하피즈 아리푸딘; 장일훈; 송시몬
- Issue Date
- Jul-2023
- Publisher
- 한국가시화정보학회
- Keywords
- 압력예측; 경동맥; MRV; 심혈관 유동; Pressure estimation; Carotid artery; Magnetic resonance velocimetry; Cardiovascular flow
- Citation
- 한국가시화정보학회지, v.21, no.2, pp.14 - 23
- Indexed
- KCI
- Journal Title
- 한국가시화정보학회지
- Volume
- 21
- Number
- 2
- Start Page
- 14
- End Page
- 23
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/192288
- DOI
- 10.5407/jksv.2023.21.2.014
- ISSN
- 1598-8430
- Abstract
- The pressure difference across stenotic blood vessels is a commonly used clinical metric for diagnosing many cardiovascular diseases. At present, most clinical pressure measurements rely solely on invasive catheterization. In this study, we propose a novel method for non-invasive pressure estimation using the incompressible Navier-Stokes equations and a 3D multi-path integration approach.
We verify spatio-temporal convergence on an in-silico dataset of a cylindrical straight pipe phantom with steady and pulsatile flow fields. We then evaluate the proposed method on an in vitro dataset of reconstructed control, pre-operative, and post-operative carotid artery cases acquired from 4D flow MRI. The performance of our method is compared to existing approaches based on the pressure Poisson equation and work-energy relative pressure. The results demonstrate the proposed method's high accuracy, robustness to spatio-temporal subsampling, and reduced sensitivity to noise, highlighting its great potential for non-invasive pressure estimation.
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