ArticleJournal of biomechanics2021
A novel MRI-based data fusion methodology for efficient, personalised, compliant simulations of aortic haemodynamics.
Article in Journal of biomechanics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Quantitative evaluation of computational fluid dynamics application development in the cardiovascular field through literature retrieval and bibliometric analysis.Biomedical engineering online · 2026Review
- False Lumen Haemodynamics in Type B Aortic Dissection: An in Vitro Study Using PIV and Patient-Specific Flexible Phantoms.Annals of biomedical engineering · 2026Article
- Computational Modeling of Flow in an in Vitro Cerebrovascular Model Under Pulsatile Conditions with Experimental Validation.Cardiovascular engineering and technology · 2026Article
- 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
- Modeling Techniques and Boundary Conditions in Abdominal Aortic Aneurysm Analysis: Latest Developments in Simulation and Integration of Machine Learning and Data-Driven Approaches.Bioengineering (Basel, Switzerland) · 2025Review
- Computational fluid dynamics modelling of hemodynamics in aortic aneurysm and dissection: a review.Frontiers in bioengineering and biotechnology · 2025Review
- Estimating flow division in aortic branches of diseased aorta: a method for boundary condition specification in CFD analysis.Frontiers in bioengineering and biotechnology · 2025Article
- ML-ROM wall shear stress prediction in patient-specific vascular pathologies under a limited clinical training data regime.PloS one · 2025Article
- A comprehensive MRI-based computational model of blood flow in compliant aorta using radial basis function interpolation.Biomedical engineering online · 2024Article
- Patient-Specific Haemodynamic Analysis of Virtual Grafting Strategies in Type-B Aortic Dissection: Impact of Compliance Mismatch.Cardiovascular engineering and technology · 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
- Towards Reduced Order Models via Robust Proper Orthogonal Decomposition to capture personalised aortic haemodynamics.Journal of biomechanics · 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
- A fast approach to estimating Windkessel model parameters for patient-specific multi-scale CFD simulations of aortic flow.Computers & fluids · 2023Article
- Aortic haemodynamics and wall stress analysis following arch aneurysm repair using a single-branched endograft.Frontiers in cardiovascular medicine · 2023Article
- Accelerated sequences of 4D flow MRI using GRAPPA and compressed sensing: A comparison against conventional MRI and computational fluid dynamics.Magnetic resonance in medicine · 2022Article
- The impact of 4D-Flow MRI spatial resolution on patient-specific CFD simulations of the thoracic aorta.Scientific reports · 2022Article
- Medical Image-Based Computational Fluid Dynamics and Fluid-Structure Interaction Analysis in Vascular Diseases.Frontiers in bioengineering and biotechnology · 2022Review
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
We present a novel, cost-efficient methodology to simulate aortic haemodynamics in a patient-specific, compliant aorta using an MRI data fusion process. Based on a previously-developed Moving Boundary Method, this technique circumvents the high computational cost and numerous structural modelling assumptions required by traditional Fluid-Structure Interaction techniques. Without the need for Computed Tomography (CT) data, the MRI images required to construct the simulation can be obtained during a single imaging session. Black Blood MR Angiography and 2D Cine-MRI data were used to reconstruct the luminal geometry and calibrate wall movement specifically to each region of the aorta. 4D-Flow MRI and non-invasive pressure measurements informed patient-specific inlet and outlet boundary conditions. Luminal area closely matched 2D Cine-MRI measurements with a mean error of less than 4.6% across the cardiac cycle, while physiological pressure and flow distributions were simulated to within 3.3% of patient-specific targets. Moderate agreement with 4D-Flow MRI velocity data was observed. Despite lower peak velocity, an equivalent rigid-wall simulation predicted a mean Time-Averaged Wall Shear Stress (TAWSS) 13% higher than the compliant simulation. The agreement observed between compliant simulation results and MRI data is testament to the accuracy and efficiency of this MRI-based simulation technique.
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