Myocardium Biomechanical Modelling and Myocardial Contraction Force Reconstruction

心肌(心肌)，特别是左心室(LV)的计算模型是研究其力学和深入了解其生理学的有效工具。与身体中的许多其他组织不同，跳动的心脏既是主动的，也是被动的，因此，主动部分因心脏的电生理而产生协调的肌肉收缩，而其被动部分则对外力和自身产生的收缩做出反应。结合组织复杂的内在特性，活性成分的复杂性及其与心脏电生理活动的耦合使得开发可靠的模型非常具有挑战性。在过去的几十年里，研究人员开发了不同复杂程度的计算心脏模型，从简单的被动线弹性各向同性模型到高度复杂的被动/主动超弹性各向异性模型。虽然后一种模型很有希望，因为它们与实验数据非常吻合，但它们往往基于非常复杂的算法，使其开发成为一项艰巨的任务，需要大量的时间和资源。此外，还没有商业软件能够模拟心脏跳动机制的主动/被动组件。这些计算工具的使用非常有限，阻碍了心脏力学研究的加速进展，并最终影响了开发急需的有效工具来了解心肌力学及其生理学。从工程角度解决这一问题的一个潜在解决方案是开发一种新的范例，其能够使用传统的有限元(FE)公式来开发计算心脏力学模型，使得商业FE软件引擎和模块被集成到用于研究心脏力学的软件包中。我们建议通过开发一种基于新范例的新的有限元公式来解决当前心脏力学模型的局限性。这一范例使得利用商用有限元软件引擎和心脏力学模型开发模块来开发高精度的心脏力学仿真软件工具成为可能。该模型将心肌理想化为由肌纤维组成的复合材料，其周围环绕着模仿组织细胞外基质的复杂背景。心脏跳动的肌纤维将被建模为具有已知时变预应力的超弹性预应力杆。细胞外基质将被理想化为一种超弹性材料，与其多组分的已知机械性能一致。开发的模型将使用实验得出的测量结果进行测试。它将被用作收缩重建反问题框架中的正演模型。这些力将使用从成像中获得的收缩位移数据进行重建。这些力量可以用来进一步了解各种病理(例如，与心律失常和心肌梗死相关的病理)。最后，将开发机电耦合模型，其中将结合所开发的心脏力学的有限元模型。所建立的正反演模型可用于加深我们对心脏跳动力学的理解。它们可以在解决关于心脏生理学的广泛的基本科学问题和洞察病理条件的途径方面发挥重要作用。例如，它们可以应用于心脏再同步治疗的计算机模拟，用于治疗充血性心力衰竭患者。这种模拟可以测试各种治疗方案，为实现最佳结果铺平道路。

Computational models of the myocardium (heart muscle), in particular the left ventricle (LV), are effective tools that can be used to study its mechanics and to gain insight into its physiology. Unlike many other tissues in the body, the beating heart is both active and passive such that the active component generates coordinated muscle contraction resulting from the heart's electrophysiology while its passive component responds to external forces and its own generated contraction. Combined with the tissue complex intrinsic properties, the complexity of the active component and its coupling with the heart's electrophysiological activity has made developing reliable models very challenging. Over the last many decades, researchers have developed computational cardiac models with various levels of sophistication ranging from simple passive linear elastic isotropic models to highly complex passive/active hyperelastic anisotropic models. While the latter models are promising as they agree reasonably well with experimental data they are often based on very complex algorithms, rendering its development a daunting task that require demanding time and resources. Furthermore, no commercial software is available that is capable of simulating the active/passive components of the beating heart mechanics. The very limited availability of such computational tools has prevented accelerated progress in studying cardiac mechanics and ultimately impacting the development of much needed effective tools to understand the myocardium mechanics and its physiology. One potential solution to address this issue from an engineering perspective is to develop a novel paradigm which enables developing computational cardiac mechanics models using traditional Finite Elements (FE) formulation such that commercial FE software engine and modules are integrated into a software package to be used for studying cardiac mechanics. We propose to address the limitations of current cardiac mechanics models by developing a new FE formulation based on a novel paradigm. This paradigm makes possible the utility of commercial FE software engine and modules for cardiac mechanics model development to develop highly accurate software tool for cardiac mechanics simulation. This model idealizes the myocardium as a composite material with myofibers surrounded by a complex background that mimics the tissue extracellular matrix. The myofibers of the beating heart will be modeled as hyperelastic prestressed rods with known time varying prestress. The extracellular matrix will be idealized as a hyperelastic material consistent with known mechanical properties of its multi constituents. The developed model will be tested using experimentally-derived measurements. It will be used as forward model in an inverse problem framework for contraction force reconstruction. These forces will be reconstructed using contraction displacement data derived from imaging. These forces can be used to further understand various pathologies (e.g. pathologies associated with arrhythmia and myocardial infarction). Finally, electromechanical coupling model will be developed where the developed FE model of the cardiac mechanics will be incorporated. The developed forward and inverse models can be used for furthering our understanding of the beating heart mechanics. They can play an important role in addressing a wide range of fundamental scientific questions regarding the heart physiology and gaining insight into pathways of pathological conditions. For example, they can be applied in computer simulation of cardiac resynchronization therapy used to treat patients with congestive heart failure. This simulation enables testing various therapy scenarios, paving the way for achieving optimal outcome.