A Novel Method for Mechanical Constitutive Parameters Estimation of Human Left Ventricle
Abstract
In this paper, a new framework for estimation of myocardium constitutive parameters is established. A more realistic, cardiac magnetic resonance image based realistic human left ventricular finite element analysis model is introduced for analyzing the deformation of left ventricle during diastole firstly, the material behavior is described by the anisotropic nonlinear Holzapfel-Ogden constitutive model; then a novel hybrid simplex and quantum behavioral particle swarm optimization algorithm which is proposed to estimate the constitutive model parameters of myocardium as the inverse problem of left ventricle deformation. Numerical results show that finite element analysis results and the estimated parameters are in good agreement with the experimental data reported in literature, which demonstrate that parameter estimation framework is valid. Comparing with current optimization algorithm, the presented hybrid optimal algorithm can estimate the mechanical parameters more efficiently.
- Publication:
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Materials Science and Engineering Conference Series
- Pub Date:
- August 2018
- DOI:
- 10.1088/1757-899X/398/1/012003
- Bibcode:
- 2018MS&E..398a2003H