A novel MRI-based data fusion methodology for efficient, personalised, compliant simulations of aortic haemodynamics

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 as...

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Vydáno v:Journal of biomechanics Ročník 129; s. 110793
Hlavní autoři: Stokes, Catriona, Bonfanti, Mirko, Li, Zeyan, Xiong, Jiang, Chen, Duanduan, Balabani, Stavroula, Díaz-Zuccarini, Vanessa
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States Elsevier Ltd 02.12.2021
Elsevier Limited
Elsevier Science
Témata:
Angiography
Aorta
Aorta - diagnostic imaging
Blood Flow Velocity
Boundary conditions
Computational Fluid Dynamics (CFD)
Computed tomography
Computer applications
Computer Simulation
Computing costs
Coronary vessels
Data integration
Error analysis
Fluid Structure Interaction (FSI)
Fluid-structure interaction
Haemodynamics
Hemodynamics
Humans
Hydrodynamics
Magnetic Resonance Imaging
Models, Cardiovascular
Patient-specific simulation
Simulation
Velocity
Wall shear stresses
Patient-specific simulation
Aorta
Haemodynamics
Computational Fluid Dynamics (CFD)
Fluid Structure Interaction (FSI)
ISSN:0021-9290, 1873-2380, 1873-2380
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Shrnutí: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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ISSN:0021-9290
1873-2380
1873-2380
DOI:10.1016/j.jbiomech.2021.110793