A novel MRI-based data fusion methodology for efficient, personalised, compliant simulations of aortic haemodynamics
C. Stokes, M. Bonfanti, Z. Li, J. Xiong, D. Chen, S. Balabani, V. Diaz
Abstract
We present a novel, cost-efficient methodology to simulate aortic haemo-dynamics 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.
02 /Specification & Classification
Click any tag to browse matching papersReproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Hemodynamics in Patients with Aortic Coarctation: A Comparison of in vivo 4D-Flow MRI and FSI Simulation
P. J. Nair, M. R. Pfaller, … A. L. Marsden·bioRxiv·Feb 13, 2023
- Computational modeling of left ventricular flow using PC-CMR-derived four-dimensional wall motion
Seyed Babak Peighambari, Tanmay Mukherjee, … Reza Avazmohammadi·International Journal of Engineering SciencePeer-reviewed·Mar 23, 2026
- Aortic annuloplasty FSI digital twin of 3D-printed phantoms with 4D-flow MRI comparison
Luca Bontempi, Marta Zattoni, … Monika Colombo·Computers in Biology and MedicinePeer-reviewed·May 17, 2025
- Investigation of hemodynamic bulk flow patterns caused by aortic stenosis using a combined 4D Flow MRI-CFD framework
Tianai Wang, Christine Quast, … Michael Neidlin·PLoS Computational BiologyPeer-reviewed·Mar 27, 2025
- Reproducibility of 4D Flow MRI-based Personalized Cardiovascular Models; Inter-sequence, Intra-observer, and Inter-observer variability
Belén Casas, Kajsa Tunedal, … Tino Ebbers·Scientific ReportsPeer-reviewed·Jan 8, 2025
- Patient-specific haemodynamic simulations of complex aortic dissections informed by commonly available clinical datasets
M. Bonfanti, G. Franzetti, … V. Diaz-Zuccarini·Medical Engineering & PhysicsPeer-reviewed·Jun 27, 2019