TY - JOUR
T1 - A novel MRI-based data fusion methodology for efficient, personalised, compliant simulations of aortic haemodynamics
AU - Stokes, Catriona
AU - Bonfanti, Mirko
AU - Li, Zeyan
AU - Xiong, Jiang
AU - Chen, Duanduan
AU - Balabani, Stavroula
AU - Díaz-Zuccarini, Vanessa
N1 - Publisher Copyright:
© 2021
PY - 2021/12/2
Y1 - 2021/12/2
N2 - 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.
AB - 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.
KW - Aorta
KW - Computational Fluid Dynamics (CFD)
KW - Fluid Structure Interaction (FSI)
KW - Haemodynamics
KW - Patient-specific simulation
UR - http://www.scopus.com/inward/record.url?scp=85117854524&partnerID=8YFLogxK
U2 - 10.1016/j.jbiomech.2021.110793
DO - 10.1016/j.jbiomech.2021.110793
M3 - Article
C2 - 34715606
AN - SCOPUS:85117854524
SN - 0021-9290
VL - 129
JO - Journal of Biomechanics
JF - Journal of Biomechanics
M1 - 110793
ER -