Optimization Framework to Identify Constitutive Law Parameters of the Human Heart

Over the last decades, computational models have been applied in in-silico simulations of the heart biomechanics. These models depend on input parameters. In particular, four parameters are needed for the constitutive law of Guccione et al., a model describing the stress-strain relation of the heart...

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Autores principales:	Kovacheva Ekaterina, Baron Lukas, Schuler Steffen, Gerach Tobias, Dössel Olaf, Loewe Axel
Formato:	article
Lenguaje:	EN
Publicado:	De Gruyter 2020
Materias:	optimization passive force material properties myocardial stiffness klotz curve Medicine R
Acceso en línea:	https://doaj.org/article/6b3e271ba647496f8bc2cc406d311b86
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spelling	oai:doaj.org-article:6b3e271ba647496f8bc2cc406d311b862021-12-05T14:10:42ZOptimization Framework to Identify Constitutive Law Parameters of the Human Heart2364-550410.1515/cdbme-2020-3025https://doaj.org/article/6b3e271ba647496f8bc2cc406d311b862020-09-01T00:00:00Zhttps://doi.org/10.1515/cdbme-2020-3025https://doaj.org/toc/2364-5504Over the last decades, computational models have been applied in in-silico simulations of the heart biomechanics. These models depend on input parameters. In particular, four parameters are needed for the constitutive law of Guccione et al., a model describing the stress-strain relation of the heart tissue. In the literature, we could find a wide range of values for these parameters. In this work, we propose an optimization framework which identifies the parameters of a constitutive law. This framework is based on experimental measurements conducted by Klotz et al.. They provide an end-diastolic pressure-volume relationship. We applied the proposed framework on one heart model and identified the following elastic parameters to optimally match the Klotz curve: C=313 Pa, bf=17.8, bt=7.1and bft=12A. In general, this approach allows to identify optimized parameters for a constitutive law, for a patient-specific heart geometry. The use of optimized parameters will lead to physiological simulation results of the heart biomechanics and is therefore an important step towards applying computational models in clinical practice.Kovacheva EkaterinaBaron LukasSchuler SteffenGerach TobiasDössel OlafLoewe AxelDe Gruyterarticleoptimizationpassive forcematerial propertiesmyocardial stiffnessklotz curveMedicineRENCurrent Directions in Biomedical Engineering, Vol 6, Iss 3, Pp 95-98 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	optimization passive force material properties myocardial stiffness klotz curve Medicine R
spellingShingle	optimization passive force material properties myocardial stiffness klotz curve Medicine R Kovacheva Ekaterina Baron Lukas Schuler Steffen Gerach Tobias Dössel Olaf Loewe Axel Optimization Framework to Identify Constitutive Law Parameters of the Human Heart
description	Over the last decades, computational models have been applied in in-silico simulations of the heart biomechanics. These models depend on input parameters. In particular, four parameters are needed for the constitutive law of Guccione et al., a model describing the stress-strain relation of the heart tissue. In the literature, we could find a wide range of values for these parameters. In this work, we propose an optimization framework which identifies the parameters of a constitutive law. This framework is based on experimental measurements conducted by Klotz et al.. They provide an end-diastolic pressure-volume relationship. We applied the proposed framework on one heart model and identified the following elastic parameters to optimally match the Klotz curve: C=313 Pa, bf=17.8, bt=7.1and bft=12A. In general, this approach allows to identify optimized parameters for a constitutive law, for a patient-specific heart geometry. The use of optimized parameters will lead to physiological simulation results of the heart biomechanics and is therefore an important step towards applying computational models in clinical practice.
format	article
author	Kovacheva Ekaterina Baron Lukas Schuler Steffen Gerach Tobias Dössel Olaf Loewe Axel
author_facet	Kovacheva Ekaterina Baron Lukas Schuler Steffen Gerach Tobias Dössel Olaf Loewe Axel
author_sort	Kovacheva Ekaterina
title	Optimization Framework to Identify Constitutive Law Parameters of the Human Heart
title_short	Optimization Framework to Identify Constitutive Law Parameters of the Human Heart
title_full	Optimization Framework to Identify Constitutive Law Parameters of the Human Heart
title_fullStr	Optimization Framework to Identify Constitutive Law Parameters of the Human Heart
title_full_unstemmed	Optimization Framework to Identify Constitutive Law Parameters of the Human Heart
title_sort	optimization framework to identify constitutive law parameters of the human heart
publisher	De Gruyter
publishDate	2020
url	https://doaj.org/article/6b3e271ba647496f8bc2cc406d311b86
work_keys_str_mv	AT kovachevaekaterina optimizationframeworktoidentifyconstitutivelawparametersofthehumanheart AT baronlukas optimizationframeworktoidentifyconstitutivelawparametersofthehumanheart AT schulersteffen optimizationframeworktoidentifyconstitutivelawparametersofthehumanheart AT gerachtobias optimizationframeworktoidentifyconstitutivelawparametersofthehumanheart AT dosselolaf optimizationframeworktoidentifyconstitutivelawparametersofthehumanheart AT loeweaxel optimizationframeworktoidentifyconstitutivelawparametersofthehumanheart
_version_	1718371790649032704

Optimization Framework to Identify Constitutive Law Parameters of the Human Heart

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