Analysis of flow patterns in a patient-specific thoracic aortic aneurysm model

Authors:
F. P. P. Tan;A. Borghi;R. H. Mohiaddin;N. B. Wood;S. Thom;X. Y. Xu
Affiliations:
Department of Chemical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom;Department of Chemical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom;Royal Brompton and Harefield NHS Trust, Sydney Street, London SW3 6NP, United Kingdom;Department of Chemical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom;National Heart and Lung Institute, International Centre for Circulatory Health, Imperial College London, 59-61 North Wharf Road, Paddington, London W2 1LA, United Kingdom;Department of Chemical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom
Venue:
Computers and Structures
Year:
2009

Citing 4
Cited 0

Digital image processing (2nd ed.)

Digital image processing (2nd ed.)
Development of a Method to Construct Three-Dimensional Finite Element Models of Thoracic Aortic Aneurysms from MRI Images

MIAR '01 Proceedings of the International Workshop on Medical Imaging and Augmented Reality (MIAR '01)
Compliant biomechanics of abdominal aortic aneurysms: A fluid-structure interaction study

Computers and Structures
CFD analysis incorporating the influence of wall motion: application to intracranial aneurysms

MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this study, a newly developed two-equation transitional model was employed for the prediction of blood flow patterns in a thoracic aortic aneurysm (TAA) where the growth and progression are closely linked to low and oscillating wall shear stresses. Laminar-turbulent transition in the dilated vessel can alter the flow structure, shear stress and pressure distribution within the aneurysm. A patient-specific TAA model was reconstructed from magnetic-resonance (MR) images and measured velocity waveform was used as the inflow condition. Laminar flow and a correlation-based transitional version of Menter's hybrid k-@e/k-@w Shear Stress Transport (SST Tran) model were implemented in pulsatile simulations from which WSS distribution was obtained throughout a cardiac cycle and velocity profiles were compared with MR measurements. The correlation-based transitional model was found to produce results in closer agreement with the MR data than the laminar flow simulation.