论文标题
心脏和循环的计算有效的生理上综合的3D-0D闭环模型
A computationally efficient physiologically comprehensive 3D-0D closed-loop model of the heart and circulation
论文作者
论文摘要
心脏电力力学(EM)的计算机模型显示出有效的临床数据定量分析以及可能预测治疗反应的有效手段。对此类高级应用的方法论主要关键挑战必须得到解决。增强的计算效率和鲁棒性对于在易于处理的时间范围内促进,模型个性化,在广泛条件下的延长观察期的模拟,生理完整性与相关治疗相关的机制是至关重要的。在这里,我们介绍了一个通用特征完整的心脏EM模型框架,该框架基于一种灵活的方法,用于将双腹膜的3D模型与代表心房力学和闭环循环的生理全面的0D CircadApt模型耦合。给出了详细的数学描述,并评估了数值方案和求解器实施的效率,鲁棒性和准确性。通过在基线条件下将耦合的3D-0D模型耦合到极限周期的参数化和稳定后,该模型通过模拟对负载条件和收缩性改变的变化的瞬态响应来证明该模型复制生理行为的能力,这是由用于评估主体和分解性胸膜的实验方案所引起的。这种新型模型的机械完整性和计算效率呈现高级应用,旨在预测可行的EM疗法的急性结果。
Computer models of cardiac electro-mechanics (EM) show promise as an effective means for quantitative analysis of clinical data and, potentially, for predicting therapeutic responses.realize such advanced applications methodological key challenges must be addressed. Enhanced computational efficiency and robustness is crucial to facilitate, within tractable time frames, model personalization, the simulation of prolonged observation periods under a broad range of conditions, and physiological completeness encompassing therapy-relevant mechanisms is needed to endow models with predictive capabilities beyond the mere replication of observations. Here, we introduce a universal feature-complete cardiac EM modeling framework that builds on a flexible method for coupling a 3D model of bi-ventricular EM to the physiologically comprehensive 0D CircAdapt model representing atrial mechanics and closed-loop circulation. A detailed mathematical description is given and efficiency, robustness, and accuracy of numerical scheme and solver implementation are evaluated. After parameterization and stabilization of the coupled 3D-0D model to a limit cycle under baseline conditions, the model's ability to replicate physiological behaviors is demonstrated, by simulating the transient response to alterations in loading conditions and contractility, as induced by experimental protocols used for assessing systolic and diastolic ventricular properties. Mechanistic completeness and computational efficiency of this novel model render advanced applications geared towards predicting acute outcomes of EM therapies feasible.