期刊
JOURNAL OF BIOMECHANICS
卷 129, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.jbiomech.2021.110793
关键词
Aorta; Computational Fluid Dynamics (CFD); Fluid Structure Interaction (FSI); Patient-specific simulation; Haemodynamics
资金
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS) [203145Z/16/Z]
- British Heart Foundation (BHF) [NH/20/1/34705]
- Department of Mechanical Engineering at University College London
A novel and cost-efficient methodology was presented for simulating aortic haemodynamics in a patient-specific, compliant aorta using an MRI data fusion process. The technique demonstrated accuracy and efficiency, with good agreement between simulation results and MRI data, showcasing the reliability of this MRI-based simulation technique.
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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