Predictive haemodynamics in a one-dimensional human carotid artery bifurcation. Part 1: application to stent design
Predictive haemodynamics in a one-dimensional human carotid artery bifurcation. Part 1: application to stent design
A diagnostic technique is proposed to identify patients with carotid stenosis who could most benefit from angioplasty followed by stent implantation. This methodology involves performing a parametric study to investigate the haemodynamic behavior due to alterations in the stenosis shapes in the internal carotid artery (ICA). A pulsatile 1-D Navier-Stokes solver incorporating fluid-wall interactions for a Newtonian fluid which predicts pressure and flow in the human carotid artery bifurcation is used for the numerical simulations. In order to assess the performance of each individual geometry, we introduce pressure variation factor as a metric to directly compare the global effect of variations in the geometry. It is shown that the probability of an overall catastrophic effect is higher when the stenosis is present in the upstream segment of the ICA. Furthermore, maximum pressure is used to quantify the local effects of geometry changes. The location of the peak and extent of stenosis are found not to influence maximum pressure. We also show how these metrics respond after stent deployment into the stenosed part of the ICA. In particular, it is found that localized pressure peaks do not depend on the length of a stent. Finally, we demonstrate how these metrics may be applied to cost-effectively predict the benefit of stenting.
1D blood flow, carotid artery, stent design, parametric
study, diagnostic techniques
802-812
Kolachalama, V.B
c34b1790-cddb-4213-beec-68835043c64e
Bressloff, N.W.
4f531e64-dbb3-41e3-a5d3-e6a5a7a77c92
Nair, P.B.
da7138d7-da7f-45af-887b-acc1d0e77a6f
Shearman, C.P.
cf4d6317-f54d-4ab3-ba49-c6797897bbcf
2007
Kolachalama, V.B
c34b1790-cddb-4213-beec-68835043c64e
Bressloff, N.W.
4f531e64-dbb3-41e3-a5d3-e6a5a7a77c92
Nair, P.B.
da7138d7-da7f-45af-887b-acc1d0e77a6f
Shearman, C.P.
cf4d6317-f54d-4ab3-ba49-c6797897bbcf
Kolachalama, V.B, Bressloff, N.W., Nair, P.B. and Shearman, C.P.
(2007)
Predictive haemodynamics in a one-dimensional human carotid artery bifurcation. Part 1: application to stent design.
IEEE Transactions on Biomedical Engineering, 54 (5), .
(doi:10.1109/TBME.2006.889188).
Abstract
A diagnostic technique is proposed to identify patients with carotid stenosis who could most benefit from angioplasty followed by stent implantation. This methodology involves performing a parametric study to investigate the haemodynamic behavior due to alterations in the stenosis shapes in the internal carotid artery (ICA). A pulsatile 1-D Navier-Stokes solver incorporating fluid-wall interactions for a Newtonian fluid which predicts pressure and flow in the human carotid artery bifurcation is used for the numerical simulations. In order to assess the performance of each individual geometry, we introduce pressure variation factor as a metric to directly compare the global effect of variations in the geometry. It is shown that the probability of an overall catastrophic effect is higher when the stenosis is present in the upstream segment of the ICA. Furthermore, maximum pressure is used to quantify the local effects of geometry changes. The location of the peak and extent of stenosis are found not to influence maximum pressure. We also show how these metrics respond after stent deployment into the stenosed part of the ICA. In particular, it is found that localized pressure peaks do not depend on the length of a stent. Finally, we demonstrate how these metrics may be applied to cost-effectively predict the benefit of stenting.
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kola_07.pdf
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More information
Published date: 2007
Keywords:
1D blood flow, carotid artery, stent design, parametric
study, diagnostic techniques
Organisations:
Computational Engineering and Design
Identifiers
Local EPrints ID: 46208
URI: http://eprints.soton.ac.uk/id/eprint/46208
ISSN: 0018-9294
PURE UUID: 4a00db99-d4f7-4085-906d-24a9b1398cfe
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Date deposited: 01 Jun 2007
Last modified: 15 Mar 2024 09:19
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Contributors
Author:
V.B Kolachalama
Author:
P.B. Nair
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