School of Mathematics and Statistics, University of Glasgow, UK.
School of Medical Imaging, North Sichuan Medical College, Sichuan, China.
Math Biosci Eng. 2022 Feb 11;19(4):3972-3993. doi: 10.3934/mbe.2022183.
It is widely acknowledged that an imbalanced biomechanical environment can have significant effects on myocardial pathology, leading to adverse remodelling of cardiac function if it persists. Accurate stress prediction essentially depends on the strain energy function which should have competent descriptive and predictive capabilities. Previous studies have focused on myofibre dispersion, but not on fibres along other directions. In this study, we will investigate how fibre dispersion affects myocardial biomechanical behaviours by taking into account both the myofibre dispersion and the sheet fibre dispersion, with a focus on the sheet fibre dispersion. Fibre dispersion is incorporated into a widely-used myocardial strain energy function using the discrete fibre bundle approach. We first study how different dispersion affects the descriptive capability of the strain energy function when fitting to ex vivo experimental data, and then the predictive capability in a human left ventricle during diastole. Our results show that the chosen strain energy function can achieve the best goodness-of-fit to the experimental data by including both fibre dispersion. Furthermore, noticeable differences in stress can be found in the LV model. Our results may suggest that it is necessary to include both dispersion for myofibres and the sheet fibres for the improved descriptive capability to the ex vivo experimental data and potentially more accurate stress prediction in cardiac mechanics.
人们普遍认为,不平衡的生物力学环境会对心肌病理学产生重大影响,如果持续存在,会导致心脏功能的不良重构。准确的应力预测本质上取决于应变能函数,该函数应具有胜任的描述和预测能力。以前的研究集中在肌纤维离散度上,但没有关注其他方向的纤维。在这项研究中,我们将通过考虑肌纤维离散度和片状纤维离散度,研究纤维离散度如何通过离散纤维束方法将纤维离散度纳入广泛使用的心肌应变能函数中。我们首先研究了不同的离散度如何影响应变能函数在拟合离体实验数据时的描述能力,然后研究了在舒张期人左心室中的预测能力。我们的结果表明,所选择的应变能函数可以通过包含两种纤维离散度来实现对实验数据的最佳拟合。此外,在 LV 模型中可以发现明显的应力差异。我们的结果可能表明,对于离体实验数据,需要同时包含肌纤维和片状纤维的离散度,以提高描述能力,从而在心脏力学中实现更准确的应力预测。