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Assessment of surface roughness and blood rheology on local coronary haemodynamics: a multi-scale computational fluid dynamics study
The surface roughness of the coronary artery is associated with the onset of atherosclerosis. The study applies, for the first time, the micro-scale variation of the artery surface to a 3D coronary model, investigating the impact on haemodynamic parameters which are indicators for atherosclerosis. T...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7482556/ https://www.ncbi.nlm.nih.gov/pubmed/32781935 http://dx.doi.org/10.1098/rsif.2020.0327 |
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author | Owen, David G. Schenkel, Torsten Shepherd, Duncan E. T. Espino, Daniel M. |
author_facet | Owen, David G. Schenkel, Torsten Shepherd, Duncan E. T. Espino, Daniel M. |
author_sort | Owen, David G. |
collection | PubMed |
description | The surface roughness of the coronary artery is associated with the onset of atherosclerosis. The study applies, for the first time, the micro-scale variation of the artery surface to a 3D coronary model, investigating the impact on haemodynamic parameters which are indicators for atherosclerosis. The surface roughness of porcine coronary arteries have been detailed based on optical microscopy and implemented into a cylindrical section of coronary artery. Several approaches to rheology are compared to determine the benefits/limitations of both single and multiphase models for multi-scale geometry. Haemodynamic parameters averaged over the rough/smooth sections are similar; however, the rough surface experiences a much wider range, with maximum wall shear stress greater than 6 Pa compared to the approximately 3 Pa on the smooth segment. This suggests the smooth-walled assumption may neglect important near-wall haemodynamics. While rheological models lack sufficient definition to truly encompass the micro-scale effects occurring over the rough surface, single-phase models (Newtonian and non-Newtonian) provide numerically stable and comparable results to other coronary simulations. Multiphase models allow for phase interactions between plasma and red blood cells which is more suited to such multi-scale models. These models require additional physical laws to govern advection/aggregation of particulates in the near-wall region. |
format | Online Article Text |
id | pubmed-7482556 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-74825562020-09-18 Assessment of surface roughness and blood rheology on local coronary haemodynamics: a multi-scale computational fluid dynamics study Owen, David G. Schenkel, Torsten Shepherd, Duncan E. T. Espino, Daniel M. J R Soc Interface Life Sciences–Engineering interface The surface roughness of the coronary artery is associated with the onset of atherosclerosis. The study applies, for the first time, the micro-scale variation of the artery surface to a 3D coronary model, investigating the impact on haemodynamic parameters which are indicators for atherosclerosis. The surface roughness of porcine coronary arteries have been detailed based on optical microscopy and implemented into a cylindrical section of coronary artery. Several approaches to rheology are compared to determine the benefits/limitations of both single and multiphase models for multi-scale geometry. Haemodynamic parameters averaged over the rough/smooth sections are similar; however, the rough surface experiences a much wider range, with maximum wall shear stress greater than 6 Pa compared to the approximately 3 Pa on the smooth segment. This suggests the smooth-walled assumption may neglect important near-wall haemodynamics. While rheological models lack sufficient definition to truly encompass the micro-scale effects occurring over the rough surface, single-phase models (Newtonian and non-Newtonian) provide numerically stable and comparable results to other coronary simulations. Multiphase models allow for phase interactions between plasma and red blood cells which is more suited to such multi-scale models. These models require additional physical laws to govern advection/aggregation of particulates in the near-wall region. The Royal Society 2020-08 2020-08-12 /pmc/articles/PMC7482556/ /pubmed/32781935 http://dx.doi.org/10.1098/rsif.2020.0327 Text en © 2020 The Authors. http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/http://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Life Sciences–Engineering interface Owen, David G. Schenkel, Torsten Shepherd, Duncan E. T. Espino, Daniel M. Assessment of surface roughness and blood rheology on local coronary haemodynamics: a multi-scale computational fluid dynamics study |
title | Assessment of surface roughness and blood rheology on local coronary haemodynamics: a multi-scale computational fluid dynamics study |
title_full | Assessment of surface roughness and blood rheology on local coronary haemodynamics: a multi-scale computational fluid dynamics study |
title_fullStr | Assessment of surface roughness and blood rheology on local coronary haemodynamics: a multi-scale computational fluid dynamics study |
title_full_unstemmed | Assessment of surface roughness and blood rheology on local coronary haemodynamics: a multi-scale computational fluid dynamics study |
title_short | Assessment of surface roughness and blood rheology on local coronary haemodynamics: a multi-scale computational fluid dynamics study |
title_sort | assessment of surface roughness and blood rheology on local coronary haemodynamics: a multi-scale computational fluid dynamics study |
topic | Life Sciences–Engineering interface |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7482556/ https://www.ncbi.nlm.nih.gov/pubmed/32781935 http://dx.doi.org/10.1098/rsif.2020.0327 |
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