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In vivo estimation of passive biomechanical properties of human myocardium

Identification of in vivo passive biomechanical properties of healthy human myocardium from regular clinical data is essential for subject-specific modelling of left ventricle (LV). In this work, myocardium was defined by Holzapfel-Ogden constitutive law. Therefore, the objectives of the study were...

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Autores principales: Palit, Arnab, Bhudia, Sunil K., Arvanitis, Theodoros N., Turley, Glen A., Williams, Mark A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6096751/
https://www.ncbi.nlm.nih.gov/pubmed/29479659
http://dx.doi.org/10.1007/s11517-017-1768-x
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author Palit, Arnab
Bhudia, Sunil K.
Arvanitis, Theodoros N.
Turley, Glen A.
Williams, Mark A.
author_facet Palit, Arnab
Bhudia, Sunil K.
Arvanitis, Theodoros N.
Turley, Glen A.
Williams, Mark A.
author_sort Palit, Arnab
collection PubMed
description Identification of in vivo passive biomechanical properties of healthy human myocardium from regular clinical data is essential for subject-specific modelling of left ventricle (LV). In this work, myocardium was defined by Holzapfel-Ogden constitutive law. Therefore, the objectives of the study were (a) to estimate the ranges of the constitutive parameters for healthy human myocardium using non-invasive routine clinical data, and (b) to investigate the effect of geometry, LV end-diastolic pressure (EDP) and fibre orientations on estimated values. In order to avoid invasive measurements and additional scans, LV cavity volume, measured from routine MRI, and empirical pressure-normalised-volume relation (Klotz-curve) were used as clinical data. Finite element modelling, response surface method and genetic algorithm were used to inversely estimate the constitutive parameters. Due to the ill-posed nature of the inverse optimisation problem, the myocardial properties was extracted by identifying the ranges of the parameters, instead of finding unique values. Additional sensitivity studies were carried out to identify the effect of LV EDP, fibre orientation and geometry on estimated parameters. Although uniqueness of the solution cannot be achieved, the normal ranges of the parameters produced similar mechanical responses within the physiological ranges. These information could be used in future computational studies for designing heart failure treatments. [Figure: see text]
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spelling pubmed-60967512018-08-24 In vivo estimation of passive biomechanical properties of human myocardium Palit, Arnab Bhudia, Sunil K. Arvanitis, Theodoros N. Turley, Glen A. Williams, Mark A. Med Biol Eng Comput Original Article Identification of in vivo passive biomechanical properties of healthy human myocardium from regular clinical data is essential for subject-specific modelling of left ventricle (LV). In this work, myocardium was defined by Holzapfel-Ogden constitutive law. Therefore, the objectives of the study were (a) to estimate the ranges of the constitutive parameters for healthy human myocardium using non-invasive routine clinical data, and (b) to investigate the effect of geometry, LV end-diastolic pressure (EDP) and fibre orientations on estimated values. In order to avoid invasive measurements and additional scans, LV cavity volume, measured from routine MRI, and empirical pressure-normalised-volume relation (Klotz-curve) were used as clinical data. Finite element modelling, response surface method and genetic algorithm were used to inversely estimate the constitutive parameters. Due to the ill-posed nature of the inverse optimisation problem, the myocardial properties was extracted by identifying the ranges of the parameters, instead of finding unique values. Additional sensitivity studies were carried out to identify the effect of LV EDP, fibre orientation and geometry on estimated parameters. Although uniqueness of the solution cannot be achieved, the normal ranges of the parameters produced similar mechanical responses within the physiological ranges. These information could be used in future computational studies for designing heart failure treatments. [Figure: see text] Springer Berlin Heidelberg 2018-02-26 2018 /pmc/articles/PMC6096751/ /pubmed/29479659 http://dx.doi.org/10.1007/s11517-017-1768-x Text en © The Author(s) 2018 Open Access This 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 Original Article
Palit, Arnab
Bhudia, Sunil K.
Arvanitis, Theodoros N.
Turley, Glen A.
Williams, Mark A.
In vivo estimation of passive biomechanical properties of human myocardium
title In vivo estimation of passive biomechanical properties of human myocardium
title_full In vivo estimation of passive biomechanical properties of human myocardium
title_fullStr In vivo estimation of passive biomechanical properties of human myocardium
title_full_unstemmed In vivo estimation of passive biomechanical properties of human myocardium
title_short In vivo estimation of passive biomechanical properties of human myocardium
title_sort in vivo estimation of passive biomechanical properties of human myocardium
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6096751/
https://www.ncbi.nlm.nih.gov/pubmed/29479659
http://dx.doi.org/10.1007/s11517-017-1768-x
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