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Structural modelling of the cardiovascular system
Computational modelling of the cardiovascular system offers much promise, but represents a truly interdisciplinary challenge, requiring knowledge of physiology, mechanics of materials, fluid dynamics and biochemistry. This paper aims to provide a summary of the recent advances in cardiovascular stru...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6154127/ https://www.ncbi.nlm.nih.gov/pubmed/29911296 http://dx.doi.org/10.1007/s10237-018-1024-9 |
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author | Owen, Benjamin Bojdo, Nicholas Jivkov, Andrey Keavney, Bernard Revell, Alistair |
author_facet | Owen, Benjamin Bojdo, Nicholas Jivkov, Andrey Keavney, Bernard Revell, Alistair |
author_sort | Owen, Benjamin |
collection | PubMed |
description | Computational modelling of the cardiovascular system offers much promise, but represents a truly interdisciplinary challenge, requiring knowledge of physiology, mechanics of materials, fluid dynamics and biochemistry. This paper aims to provide a summary of the recent advances in cardiovascular structural modelling, including the numerical methods, main constitutive models and modelling procedures developed to represent cardiovascular structures and pathologies across a broad range of length and timescales; serving as an accessible point of reference to newcomers to the field. The class of so-called hyperelastic materials provides the theoretical foundation for the modelling of how these materials deform under load, and so an overview of these models is provided; comparing classical to application-specific phenomenological models. The physiology is split into components and pathologies of the cardiovascular system and linked back to constitutive modelling developments, identifying current state of the art in modelling procedures from both clinical and engineering sources. Models which have originally been derived for one application and scale are shown to be used for an increasing range and for similar applications. The trend for such approaches is discussed in the context of increasing availability of high performance computing resources, where in some cases computer hardware can impact the choice of modelling approach used. |
format | Online Article Text |
id | pubmed-6154127 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-61541272018-10-10 Structural modelling of the cardiovascular system Owen, Benjamin Bojdo, Nicholas Jivkov, Andrey Keavney, Bernard Revell, Alistair Biomech Model Mechanobiol Review Paper Computational modelling of the cardiovascular system offers much promise, but represents a truly interdisciplinary challenge, requiring knowledge of physiology, mechanics of materials, fluid dynamics and biochemistry. This paper aims to provide a summary of the recent advances in cardiovascular structural modelling, including the numerical methods, main constitutive models and modelling procedures developed to represent cardiovascular structures and pathologies across a broad range of length and timescales; serving as an accessible point of reference to newcomers to the field. The class of so-called hyperelastic materials provides the theoretical foundation for the modelling of how these materials deform under load, and so an overview of these models is provided; comparing classical to application-specific phenomenological models. The physiology is split into components and pathologies of the cardiovascular system and linked back to constitutive modelling developments, identifying current state of the art in modelling procedures from both clinical and engineering sources. Models which have originally been derived for one application and scale are shown to be used for an increasing range and for similar applications. The trend for such approaches is discussed in the context of increasing availability of high performance computing resources, where in some cases computer hardware can impact the choice of modelling approach used. Springer Berlin Heidelberg 2018-06-18 2018 /pmc/articles/PMC6154127/ /pubmed/29911296 http://dx.doi.org/10.1007/s10237-018-1024-9 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Review Paper Owen, Benjamin Bojdo, Nicholas Jivkov, Andrey Keavney, Bernard Revell, Alistair Structural modelling of the cardiovascular system |
title | Structural modelling of the cardiovascular system |
title_full | Structural modelling of the cardiovascular system |
title_fullStr | Structural modelling of the cardiovascular system |
title_full_unstemmed | Structural modelling of the cardiovascular system |
title_short | Structural modelling of the cardiovascular system |
title_sort | structural modelling of the cardiovascular system |
topic | Review Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6154127/ https://www.ncbi.nlm.nih.gov/pubmed/29911296 http://dx.doi.org/10.1007/s10237-018-1024-9 |
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