Key result
The Polynomial (Anisotropic) model outperformed five other hyperelastic models in predicting the biaxial mechanical behavior of rat myocardial tissues, achieving an Evaluation Index above 90%.
Why the study?
Accurate biaxial mechanical data for myocardia are needed to develop detailed computational models, and their lack may delay understanding of heart disease mechanisms.
The Polynomial (Anisotropic) model provides the best fit for regional rat myocardial mechanics, which is useful for developing accurate computational models of the heart.
Regional rat myocardial biaxial data may refine hyperelastic models; leaves open translation to human cardiac simulations.
Background: Availability of biaxial mechanical data for heart myocardia remains high in demand for the development of accurate and detailed computational models. Lack of accurate mechanical data for myocardia may delay the understanding of heart diseases mechanisms. Therefore, the aim of this study is to develop understanding of 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). To select the best hyperelastic model that may be utilised for the development of computational models of the heart, the Fung, Choi-Vito, Polynomial (Anisotropic), Four-Fiber family, Holzapfel (2000) and Holzapfel (2005) hyperelastic models were selected and fitted on the biaxial data of the LV, RV and STW. Results: The best hyperelastic model was selected based on evaluation index (EI) which utilises the Coefficient of Determination (R2). All the six hyperelastic constitutive 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 %. The Four-fiber-family and the two Holzapfel models perform equally in the LV and STW myocardial tissue with EI of 50 and 70 %, respectively. Conclusions: The Fung and Choi-Vito models yielded poor goodness of fit in the LV and STW myocardial tissues. The results presented here will be useful for detailed development of accurate computational models studying mechanisms of cardiovascular diseases.
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Ṋemavhola et al. (2021) studied Healthy rat heart mechanics (n=14). Hyperelastic constitutive model fitting was evaluated on Goodness of fit (Evaluation Index and R2). The Polynomial (Anisotropic) model outperformed five other hyperelastic models in predicting the biaxial mechanical behavior of rat myocardial tissues, achieving an Evaluation Index above 90%.
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