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Parameter estimation in a Holzapfel–Ogden law for healthy myocardium
A central problem in biomechanical studies of personalized human left ventricular (LV) modelling is to estimate material properties from in vivo clinical measurements. In this work we evaluate the passive myocardial mechanical properties inversely from the in vivo LV chamber pressure–volume and stra...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4662962/ https://www.ncbi.nlm.nih.gov/pubmed/26663931 http://dx.doi.org/10.1007/s10665-014-9740-3 |
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author | Gao, H. Li, W. G. Cai, L. Berry, C. Luo, X. Y. |
author_facet | Gao, H. Li, W. G. Cai, L. Berry, C. Luo, X. Y. |
author_sort | Gao, H. |
collection | PubMed |
description | A central problem in biomechanical studies of personalized human left ventricular (LV) modelling is to estimate material properties from in vivo clinical measurements. In this work we evaluate the passive myocardial mechanical properties inversely from the in vivo LV chamber pressure–volume and strain data. The LV myocardium is described using a structure-based orthotropic Holzapfel–Ogden constitutive law with eight parameters. In the first part of the paper we demonstrate how to use a multi-step non-linear least-squares optimization procedure to inversely estimate the parameters from the pressure–volume and strain data obtained from a synthetic LV model in diastole. In the second part, we show that to apply this procedure to clinical situations with limited in vivo data, additional constraints are required in the optimization procedure. Our study, based on three different healthy volunteers, demonstrates that the parameters of the Holzapfel–Ogden law could be extracted from pressure–volume and strain data with a suitable multi-step optimization procedure. Although the uniqueness of the solution cannot be addressed using our approaches, the material response is shown to be robustly determined. |
format | Online Article Text |
id | pubmed-4662962 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-46629622015-12-07 Parameter estimation in a Holzapfel–Ogden law for healthy myocardium Gao, H. Li, W. G. Cai, L. Berry, C. Luo, X. Y. J Eng Math Article A central problem in biomechanical studies of personalized human left ventricular (LV) modelling is to estimate material properties from in vivo clinical measurements. In this work we evaluate the passive myocardial mechanical properties inversely from the in vivo LV chamber pressure–volume and strain data. The LV myocardium is described using a structure-based orthotropic Holzapfel–Ogden constitutive law with eight parameters. In the first part of the paper we demonstrate how to use a multi-step non-linear least-squares optimization procedure to inversely estimate the parameters from the pressure–volume and strain data obtained from a synthetic LV model in diastole. In the second part, we show that to apply this procedure to clinical situations with limited in vivo data, additional constraints are required in the optimization procedure. Our study, based on three different healthy volunteers, demonstrates that the parameters of the Holzapfel–Ogden law could be extracted from pressure–volume and strain data with a suitable multi-step optimization procedure. Although the uniqueness of the solution cannot be addressed using our approaches, the material response is shown to be robustly determined. Springer Netherlands 2015-01-30 2015 /pmc/articles/PMC4662962/ /pubmed/26663931 http://dx.doi.org/10.1007/s10665-014-9740-3 Text en © The Author(s) 2015 https://creativecommons.org/licenses/by/4.0/ Open AccessThis article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. |
spellingShingle | Article Gao, H. Li, W. G. Cai, L. Berry, C. Luo, X. Y. Parameter estimation in a Holzapfel–Ogden law for healthy myocardium |
title | Parameter estimation in a Holzapfel–Ogden law for healthy myocardium |
title_full | Parameter estimation in a Holzapfel–Ogden law for healthy myocardium |
title_fullStr | Parameter estimation in a Holzapfel–Ogden law for healthy myocardium |
title_full_unstemmed | Parameter estimation in a Holzapfel–Ogden law for healthy myocardium |
title_short | Parameter estimation in a Holzapfel–Ogden law for healthy myocardium |
title_sort | parameter estimation in a holzapfel–ogden law for healthy myocardium |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4662962/ https://www.ncbi.nlm.nih.gov/pubmed/26663931 http://dx.doi.org/10.1007/s10665-014-9740-3 |
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