LMS, École Polytechnique/CNRS/Institut Polytechnique de Paris, Palaiseau, France.
Inria, MΞDISIM Team, Inria Saclay-Ile de France, Palaiseau, France.
Int J Numer Method Biomed Eng. 2023 Nov;39(11):e3711. doi: 10.1002/cnm.3711. Epub 2023 May 18.
Biomechanical modeling and simulation is expected to play a significant role in the development of the next generation tools in many fields of medicine. However, full-order finite element models of complex organs such as the heart can be computationally very expensive, thus limiting their practical usability. Therefore, reduced models are much valuable to be used, for example, for pre-calibration of full-order models, fast predictions, real-time applications, and so forth. In this work, focused on the left ventricle, we develop a reduced model by defining reduced geometry & kinematics while keeping general motion and behavior laws, allowing to derive a reduced model where all variables & parameters have a strong physical meaning. More specifically, we propose a reduced ventricular model based on cylindrical geometry & kinematics, which allows to describe the myofiber orientation through the ventricular wall and to represent contraction patterns such as ventricular twist, two important features of ventricular mechanics. Our model is based on the original cylindrical model of Guccione, McCulloch, & Waldman (1991); Guccione, Waldman, & McCulloch (1993), albeit with multiple differences: we propose a fully dynamical formulation, integrated into an open-loop lumped circulation model, and based on a material behavior that incorporates a fine description of contraction mechanisms; moreover, the issue of the cylinder closure has been completely reformulated; our numerical approach is novel aswell, with consistent spatial (finite element) and time discretizations. Finally, we analyze the sensitivity of the model response to various numerical and physical parameters, and study its physiological response.
生物力学建模和仿真有望在医学许多领域的下一代工具的发展中发挥重要作用。然而,复杂器官(如心脏)的全阶有限元模型在计算上可能非常昂贵,因此限制了它们的实际可用性。因此,降阶模型非常有价值,例如,用于全阶模型的预校准、快速预测、实时应用等。在这项针对左心室的工作中,我们通过定义降阶几何形状和运动学,同时保持一般运动和行为规律,开发了一种降阶模型,使所有变量和参数都具有很强的物理意义。更具体地说,我们提出了一种基于圆柱几何形状和运动学的心室降阶模型,该模型允许通过心室壁描述肌纤维方向,并表示心室扭转等收缩模式,这是心室力学的两个重要特征。我们的模型基于 Guccione、McCulloch 和 Waldman(1991 年)的原始圆柱模型;Guccione、Waldman 和 McCulloch(1993 年),尽管有多个差异:我们提出了一种完全动态的公式,集成到开环整体循环模型中,并基于一种材料行为,该行为包含对收缩机制的精细描述;此外,还完全重新制定了圆柱封闭问题;我们的数值方法也是新颖的,具有一致的空间(有限元)和时间离散化。最后,我们分析了模型响应对各种数值和物理参数的敏感性,并研究了其生理响应。