ArticleMagnetic resonance in medicine2018
Volumetric segmentation-free method for rapid visualization of vascular wall shear stress using 4D flow MRI.
Article in Magnetic resonance in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 15 citations in OpenAlex.
- Clinical applications of 4D flow magnetic resonance imaging in hepatic vascular disorders: practical biomarkers, protocol design, and translational implementation.Quantitative imaging in medicine and surgery · 2026Review
- Altered caval flow and wall shear stress in single ventricle circulation: insights from ferumoxytol-enhanced 4D flow MRI.European heart journal. Imaging methods and practice · 2026Article
- Aortic wall shear stress in bicuspid aortic valve disease-10-year follow-up.Cardiovascular diagnosis and therapy · 2023Article
- The role of 4-dimensional flow in the assessment of bicuspid aortic valve and its valvulo-aortopathies.The British journal of radiology · 2022Review
- 4D Flow Vorticity Visualization Predicts Regions of Quantitative Flow Inconsistency for Optimal Blood Flow Measurement.Radiology. Cardiothoracic imaging · 2020Article
- Two-Minute k-Space and Time-accelerated Aortic Four-dimensional Flow MRI: Dual-Center Study of Feasibility and Impact on Velocity and Wall Shear Stress Quantification.Radiology. Cardiothoracic imaging · 2019Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
purposeTo develop a rapid segmentation-free method to visualize and compute wall shear stress (WSS) throughout the aorta using 4D Flow MRI data. WSS is the drag force-per-area the vessel endothelium exerts on luminal blood; abnormal levels of WSS are associated with cardiovascular pathologies. Previous methods for computing WSS are bottlenecked by labor-intensive manual segmentation of vessel boundaries. A rapid automated segmentation-free method for computing WSS is presented. THEORY AND
methodsShear stress is the dot-product of the viscous stress tensor and the inward normal vector. The inward normal vectors are approximated as the gradient of fluid speed at every voxel. Subsequently, a 4D map of shear stress is computed as the partial derivatives of velocity with respect to the inward normal vectors. We highlight the shear stress near the wall by fusing visualization with edge-emphasized anatomical data.
resultsAs a proof-of-concept, four cases with aortic pathologies are presented. Visualization allows for rapid localization of pathologic WSS. Subsequent analysis of these pathological regions enables quantification of WSS. Average WSS during peak systole measures approximately 50-60 cPa in nonpathological regions of the aorta and is elevated in regions of stenosis, coarctation, and dissection. WSS is reduced in regions of aneurysm.
conclusionA volumetric technique for calculation and visualization of WSS from 4D Flow MRI data is presented. Traditional labor-intensive methods for WSS rely on explicit manual segmentation of vessel boundaries before visualization. This automated volumetric strategy for visualization and quantification of WSS may facilitate its clinical translation.
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