Analysis of Haemodynamics and Biomechanics of Different Aortic Valve and Root Prostheses

Lead Research Organisation: Imperial College London
Department Name: Department of Chemical Engineering

Abstract

This project will have two main themes; processing and analysing patient-specific medical imaging data and numerical modelling in OpenFOAM using transitional LES. The processed medical imaging data will be used to generate geometries of patients having undergone various procedures involving aortic valve replacement and those of healthy aortas. Furthermore, MRI data will also be used to extract patient-specific flow information, such as pulsatile velocity profiles which can be implemented in CFD simulations as boundary conditions. In order to complete these tasks, the student will gain familiarity and understanding of processing medical images, as well as being able to analyse the data. In the early stages of this project, simplified geometries will be modelled in OpenFOAM using transitional LES methods, progressing to more realistic geometries where laminar and LES results can be compared.

Further on in the project, numerical models will progress to include the fluid-structure interaction between leaflet dynamics and blood flow. This interaction will allow better understanding of the influence of the dynamic valves on transition and turbulence. Dependent on progress, fluid-structure interactions could be broadened to include the relationship between blood flow and arterial wall, to account for the changes in vessel shape during a cardiac cycle as done in previous work by (Lantz, Renner and Karlsson, 2011). This numerical model could also be of interest in order to better understand the interaction with prostheses materials which have different elastomechanical and compliance characteristics to arterial tissues (Spadaccio et al., 2016), as well as understanding the effects of different aortic valves on dilatation and aneurysms. The project could also be developed to include a mathematical model for thrombus formation which would be of particular interest for better understanding mechanical heart valves, as they are well known for being highly thrombogenic. Incorporating this model could help with the understanding of thrombus formation in relation to mechanical heart valves.

Publications

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Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/R512540/1 01/10/2017 30/09/2021
1966633 Studentship EP/R512540/1 01/10/2017 31/03/2021 Emily Louise Manchester