ArticleScientific reports2022
The impact of 4D-Flow MRI spatial resolution on patient-specific CFD simulations of the thoracic aorta.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- MRI-based shear stress profiles in subclinical carotid atherosclerosis - A feasibility study.PLOS digital health · 2026Article
- Impact of Contour Boundary Offsets on 4D Flow CMR-Derived Intracardiac Haemodynamic Parameters.Journal of cardiovascular development and disease · 2026Article
- Numerical simulations to predict complication after coarctation repair starting from 4D-Flow magnetic resonance imaging.The international journal of cardiovascular imaging · 2026Article
- Feasibility of Golden Angle Spiral Real-Time Phase Contrast MRI at 0.55T: A Single-Center Prospective Study.Bioengineering (Basel, Switzerland) · 2026Article
- Automated 4D flow MRI pipeline for the quantification of advanced hemodynamic parameters in the left atrium.Scientific reports · 2026Article
- Clinical 4D flow MRI assessment in aortopathy-what the clinician needs to know.Cardiovascular diagnosis and therapy · 2025Review
- Impact of Residual Intimal Flap Displacement Post-TEVAR on TBAD Haemodynamics in Compliant, Patient-specific CFD Simulations Informed by MRI.Annals of biomedical engineering · 2025Article
- Computational Fluid Dynamics-Driven Comparison of Endovascular Treatment Strategies for Penetrating Aortic Ulcer.Journal of clinical medicine · 2025Article
- Computational fluid dynamics modelling of hemodynamics in aortic aneurysm and dissection: a review.Frontiers in bioengineering and biotechnology · 2025Review
- Article
- Unsupervised Denoising and Super-Resolution of Vascular Flow Data by Physics-Informed Machine Learning.Journal of biomechanical engineering · 2024Article
- Reconstruction and Validation of Arterial Geometries for Computational Fluid Dynamics Using Multiple Temporal Frames of 4D Flow-MRI Magnitude Images.Cardiovascular engineering and technology · 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
- Calibration of patient-specific boundary conditions for coupled CFD models of the aorta derived from 4D Flow-MRI.Frontiers in bioengineering and biotechnology · 2023Article
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4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Magnetic Resonance Imaging (MRI) is considered the gold standard of medical imaging technologies as it allows for accurate imaging of blood vessels. 4-Dimensional Flow Magnetic Resonance Imaging (4D-Flow MRI) is built on conventional MRI, and provides flow data in the three vector directions and a time resolved magnitude data set. As such it can be used to retrospectively calculate haemodynamic parameters of interest, such as Wall Shear Stress (WSS). However, multiple studies have indicated that a significant limitation of the imaging technique is the spatiotemporal resolution that is currently available. Recent advances have proposed and successfully integrated 4D-Flow MRI imaging techniques with Computational Fluid Dynamics (CFD) to produce patient-specific simulations that have the potential to aid in treatments,surgical decision making, and risk stratification. However, the consequences of using insufficient 4D-Flow MRI spatial resolutions on any patient-specific CFD simulations is currently unclear, despite being a recognised limitation. The research presented in this study aims to quantify the inaccuracies in patient-specific 4D-Flow MRI based CFD simulations that can be attributed to insufficient spatial resolutions when acquiring 4D-Flow MRI data. For this research, a patient has undergone four 4D-Flow MRI scans acquired at various isotropic spatial resolutions and patient-specific CFD simulations have subsequently been run using geometry and velocity data produced from each scan. It was found that compared to CFD simulations based on a [Formula: see text], using a spatial resolution of [Formula: see text] substantially underestimated the maximum velocity magnitude at peak systole by [Formula: see text]. The impacts of 4D-Flow MRI spatial resolution on WSS calculated from CFD simulations have been investigated and it has been shown that WSS is underestimated in CFD simulations that are based on a coarse 4D-Flow MRI spatial resolution. The authors have concluded that a minimum 4D-Flow MRI spatial resolution of [Formula: see text] must be used when acquiring 4D-Flow MRI data to perform patient-specific CFD simulations. A coarser spatial resolution will produce substantial differences within the flow field and geometry.
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