A Novel Method for Mechanical Constitutive Parameters Estimation of Human Left Ventricle

2nd International Conference on Manufacturing Technologies

Huang, Z.Q.^1 ; Li, Y.Q.^1,2

Department of Applied Mathematics, Northwestern Polytechnical University, Xi'an

710129, China^1

NPU-UoG International Cooperative Lab for Computation and Application in Cardiology Northwestern, Polytechnical University, Xi'an

710129, China^2

关键词: Cardiac magnetic resonance images;    Constitutive parameters;    Current optimization;    Estimated parameter;    Finite element analysis model;    Material behavior;    Mechanical parameters;    Particle swarm optimization algorithm;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/398/1/012003/pdf
DOI  :  10.1088/1757-899X/398/1/012003

来源: IOP

【 摘 要 】

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.