Stokes, C;
Bonfanti, M;
Li, Z;
Xiong, J;
Chen, D;
Balabani, S;
Díaz-Zuccarini, V;
(2021)
A novel MRI-based data fusion methodology for efficient, personalised, compliant simulations of aortic haemodynamics.
Journal of Biomechanics
, 129
, Article 110793. 10.1016/j.jbiomech.2021.110793.
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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.
| Type: | Article |
|---|---|
| Title: | A novel MRI-based data fusion methodology for efficient, personalised, compliant simulations of aortic haemodynamics |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.jbiomech.2021.110793 |
| Publisher version: | https://doi.org/10.1016/j.jbiomech.2021.110793 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions |
| Keywords: | Aorta, Computational Fluid Dynamics (CFD), Fluid structure interaction, Patient-specific simulation, Haemodynamics |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Mechanical Engineering |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10136394 |
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