ArticleAnnals of biomedical engineering2022
Wall Shear Stress Estimation for 4D Flow MRI Using Navier-Stokes Equation Correction.
Article in Annals of biomedical engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Mechanisms of aortic dissection: From pathological changes to experimental andProgress in materials science · 2025Article
- Hemodynamic evaluation of the pulmonary arteries and aorta using 4D flow cardiac MRI in children and young adults with dextro-transposition of the great arteries after the arterial switch operation.Pediatric radiology · 2025Article
- Patient-specific modelling of pulmonary arterial hypertension: wall shear stress correlates with disease severity.Frontiers in bioengineering and biotechnology · 2025Article
- Three-Dimensionally Printed Elastic Cardiovascular Phantoms for Carotid Angioplasty Training and Personalized Healthcare.Journal of clinical medicine · 2024Article
- Editorial for "Evaluating a Phase-Specific Approach to Aortic Flow: A 4D Flow MRI Study".Journal of magnetic resonance imaging : JMRI · 2024Article
- Prediction of Hemodynamic-Related Hemolysis in Carotid Stenosis and Aiding in Treatment Planning and Risk Stratification Using Computational Fluid Dynamics.Biomedicines · 2023Article
- Comparison of aortic blood flow rotational direction in healthy volunteers and patients with bicuspid aortic valves using volumetric velocity-sensitive cardiovascular magnetic resonance imaging.Quantitative imaging in medicine and surgery · 2023Article
- Aneurysmal growth in type-B aortic dissection: assessing the impact of patient-specific inlet conditions on key haemodynamic indices.Journal of the Royal Society, Interface · 2023Article
- The Influence of Minor Aortic Branches in Patient-Specific Flow Simulations of Type-B Aortic Dissection.Annals of biomedical engineering · 2023Article
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Authors and funding
6 authors.
Funding
Abstract
This study introduces a novel wall shear stress (WSS) estimation method for 4D flow MRI. The method improves the WSS accuracy by using the reconstructed pressure gradient and the flow-physics constraints to correct velocity gradient estimation. The method was tested on synthetic 4D flow data of analytical Womersley flow and flow in cerebral aneurysms and applied to in vivo 4D flow data acquired in cerebral aneurysms and aortas. The proposed method's performance was compared to the state-of-the-art method based on smooth-spline fitting of velocity profile and the WSS calculated from uncorrected velocity gradient. The proposed method improved the WSS accuracy by as much as 100% for the Womersley flow and reduced the underestimation of mean WSS by 39 to 50% for the synthetic aneurysmal flow. The predicted mean WSS from the in vivo aneurysmal data using the proposed method was 31 to 50% higher than the other methods. The predicted aortic WSS using the proposed method was 3 to 6 times higher than the other methods and was consistent with previous CFD studies and the results from recently developed methods that take into account the limited spatial resolution of 4D flow MRI. The proposed method improves the accuracy of WSS estimation from 4D flow MRI, which can help predict blood vessel remodeling and progression of cardiovascular diseases.
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