Fluid–structure interaction analysis of a healthy aortic valve and its surrounding haemodynamics

Journal Article (2024)
Author(s)

Zhongjie Yin (Imperial College London)

Chlöe Armour (Imperial College London)

Harkamaljot Kandail (Medtronic Neurovascular)

Declan P. O'Regan (Imperial College London)

Toufan Bahrami (Imperial College London, The Royal Brompton and Harefield NHS Foundation Trust)

Saeed Mirsadraee (The Royal Brompton and Harefield NHS Foundation Trust, Imperial College London)

Selene Pirola (TU Delft - Mechanical Engineering, Imperial College London)

Xiao Yun Xu (Imperial College London)

Research Group
Medical Instruments & Bio-Inspired Technology
DOI related publication
https://doi.org/10.1002/cnm.3865 Final published version
More Info
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Publication Year
2024
Language
English
Research Group
Medical Instruments & Bio-Inspired Technology
Issue number
11
Volume number
40
Article number
e3865
Downloads counter
221
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Abstract

The opening and closing dynamics of the aortic valve (AV) has a strong influence on haemodynamics in the aortic root, and both play a pivotal role in maintaining normal physiological functions of the valve. The aim of this study was to establish a subject-specific fluid–structure interaction (FSI) workflow capable of simulating the motion of a tricuspid healthy valve and the surrounding haemodynamics under physiologically realistic conditions. A subject-specific aortic root was reconstructed from magnetic resonance (MR) images acquired from a healthy volunteer, whilst the valve leaflets were built using a parametric model fitted to the subject-specific aortic root geometry. The material behaviour of the leaflets was described using the isotropic hyperelastic Ogden model, and subject-specific boundary conditions were derived from 4D-flow MR imaging (4D-MRI). Strongly coupled FSI simulations were performed using a finite volume-based boundary conforming method implemented in FlowVision. Our FSI model was able to simulate the opening and closing of the AV throughout the entire cardiac cycle. Comparisons of simulation results with 4D-MRI showed a good agreement in key haemodynamic parameters, with stroke volume differing by 7.5% and the maximum jet velocity differing by less than 1%. Detailed analysis of wall shear stress (WSS) on the leaflets revealed much higher WSS on the ventricular side than the aortic side and different spatial patterns amongst the three leaflets.