Literature DB >> 23293070

Structure-based finite strain modelling of the human left ventricle in diastole.

H M Wang1, H Gao, X Y Luo, C Berry, B E Griffith, R W Ogden, T J Wang.   

Abstract

Finite strain analyses of the left ventricle provide important information on heart function and have the potential to provide insights into the biomechanics of myocardial contractility in health and disease. Systolic dysfunction is the most common cause of heart failure; however, abnormalities of diastolic function also contribute to heart failure, and are associated with conditions including left ventricular hypertrophy and diabetes. The clinical significance of diastolic abnormalities is less well understood than systolic dysfunction, and specific treatments are presently lacking. To obtain qualitative and quantitative information on heart function in diastole, we develop a three-dimensional computational model of the human left ventricle that is derived from noninvasive imaging data. This anatomically realistic model has a rule-based fibre structure and a structure-based constitutive model. We investigate the sensitivity of this comprehensive model to small changes in the constitutive parameters and to changes in the fibre distribution. We make extensive comparisons between this model and similar models that employ different constitutive models, and we demonstrate qualitative and quantitative differences in stress and strain distributions for the different constitutive models. We also provide an initial validation of our model through comparisons to experimental data on stress and strain distributions in the left ventricle.
Copyright © 2012 John Wiley & Sons, Ltd.

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Year:  2012        PMID: 23293070     DOI: 10.1002/cnm.2497

Source DB:  PubMed          Journal:  Int J Numer Method Biomed Eng        ISSN: 2040-7939            Impact factor:   2.747


  31 in total

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Review 2.  Biomechanics of Cardiac Function.

Authors:  Andrew P Voorhees; Hai-Chao Han
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3.  Computational modeling of chemo-electro-mechanical coupling: a novel implicit monolithic finite element approach.

Authors:  J Wong; S Göktepe; E Kuhl
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4.  Heterogeneous growth-induced prestrain in the heart.

Authors:  M Genet; M K Rausch; L C Lee; S Choy; X Zhao; G S Kassab; S Kozerke; J M Guccione; E Kuhl
Journal:  J Biomech       Date:  2015-04-03       Impact factor: 2.712

5.  Computational Modeling of Healthy Myocardium in Diastole.

Authors:  Amir Nikou; Shauna M Dorsey; Jeremy R McGarvey; Joseph H Gorman; Jason A Burdick; James J Pilla; Robert C Gorman; Jonathan F Wenk
Journal:  Ann Biomed Eng       Date:  2015-07-28       Impact factor: 3.934

6.  A modified Holzapfel-Ogden law for a residually stressed finite strain model of the human left ventricle in diastole.

Authors:  H M Wang; X Y Luo; H Gao; R W Ogden; B E Griffith; C Berry; T J Wang
Journal:  Biomech Model Mechanobiol       Date:  2013-04-23

7.  Distribution of normal human left ventricular myofiber stress at end diastole and end systole: a target for in silico design of heart failure treatments.

Authors:  Martin Genet; Lik Chuan Lee; Rebecca Nguyen; Henrik Haraldsson; Gabriel Acevedo-Bolton; Zhihong Zhang; Liang Ge; Karen Ordovas; Sebastian Kozerke; Julius M Guccione
Journal:  J Appl Physiol (1985)       Date:  2014-05-29

8.  Dynamic finite-strain modelling of the human left ventricle in health and disease using an immersed boundary-finite element method.

Authors:  Hao Gao; David Carrick; Colin Berry; Boyce E Griffith; Xiaoyu Luo
Journal:  IMA J Appl Math       Date:  2014-07-01       Impact factor: 0.845

9.  Improving the stability of cardiac mechanical simulations.

Authors:  Sander Land; Steven A Niederer; Pablo Lamata; Nicolas P Smith
Journal:  IEEE Trans Biomed Eng       Date:  2014-12-02       Impact factor: 4.538

10.  The Comparison of Different Constitutive Laws and Fiber Architectures for the Aortic Valve on Fluid-Structure Interaction Simulation.

Authors:  Li Cai; Ruihang Zhang; Yiqiang Li; Guangyu Zhu; Xingshuang Ma; Yongheng Wang; Xiaoyu Luo; Hao Gao
Journal:  Front Physiol       Date:  2021-06-24       Impact factor: 4.566

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