Key result
The Polynomial (Anisotropic) model outperformed five other hyperelastic models in predicting the mechanical behavior of all rat myocardial tissues, achieving an Evaluation Index above 90%.
Why the study?
Biaxial mechanical data for heart myocardia remain high in demand to develop accurate and detailed computational models, and regional differences in wall mechanics needed to be examined.
The Polynomial (Anisotropic) model provides the best fit for biaxial mechanical data across different regions of the rat heart, highlighting the necessity of incorporating anisotropy in cardiac computational models.
Rat biaxial data refine regional myocardial constitutive models; leaves open translation to human computational simulations.
Availability of biaxial mechanical data for heart myocardia remains high in demand for the development of accurate and detailed computational models. The aim of this study is to study the regional difference of wall mechanics using rat heart in the left ventricle (LV), septal wall (STW) and right ventricle (RV). This was achieved by conducting a biaxial test on three rat heart myocardia (i.e LV, RV and STW). Fung, Choi-Vito, Polynomial (Anistropic), Four-Fiber family, Holzapfel (2000) and Holzapfel (2005) hyperelastic models were selected and fitted on the bixial data of the LV, RV and STW. The best hyperelastic model was the selected based on evaluation index (EI) determined from the coefficient of determination (R2). All the six models were then compared in all three rat heart myocardia. The results show that the Polynomial (Anisotropic) model outperforms the other five models in all myocardial tissues with EI’s above 90 % goodness of fit. The Four-fiber-family and the two Holzapfel models perform equally in the LV and STW myocardial tissue between 50 and 70 % goodness of fit. The Fung and Choi-Vito models yielded poor goodness of fit in the LV and STW myocardial tissues. Parameter fitting is useful method in advancing reliable data to be used in the development of accurate computational models.
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Ṋemavhola et al. (2021) studied Healthy rat heart mechanics (n=14). Hyperelastic constitutive model fitting (Polynomial Anisotropic model) vs. Other hyperelastic models (Fung, Choi-Vito, Holzapfel, Four-fiber family) was evaluated on Goodness of fit (Evaluation Index and R2). The Polynomial (Anisotropic) model outperformed five other hyperelastic models in predicting the mechanical behavior of all rat myocardial tissues, achieving an Evaluation Index above 90%.
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