Inter-model consistency and complementarity: Learning from ex-vivo imaging and electrophysiological data towards an integrated understanding of cardiac physiology

Computational models of the heart at various scales and levels of complexity have been independently developed, parameterised and validated using a wide range of experimental data for over four decades. However, despite remarkable progress, the lack of coordinated efforts to compare and combine these computational models has limited their impact on the numerous open questions in cardiac physiology. To address this issue, a comprehensive dataset has previously been made available to the community that contains the cardiac anatomy and fibre orientations from magnetic resonance imaging as well as epicardial transmembrane potentials from optical mapping measured on a perfused ex-vivo porcine heart. This data was used to develop and customize four models of cardiac electrophysiology with different level of details, including a personalized fast conduction Purkinje system, a maximum a posteriori estimation of the 3D distribution of transmembrane potential, the personalization of a simplified reaction-diffusion model, and a detailed biophysical model with generic conduction parameters. This study proposes the integration of these four models into a single modelling and simulation pipeline, after analyzing their common features and discrepancies. The proposed integrated pipeline demonstrates an increase prediction power of depolarization isochrones in different pacing conditions. (C) 2011 Elsevier Ltd. All rights reserved.

四十多年来，人们利用广泛的实验数据，独立开发、参数化并验证了不同尺度和复杂程度的心脏计算模型。然而，尽管取得了显著进展，但由于缺乏协调一致的努力来比较和整合这些计算模型，它们对心脏生理学中众多未解决问题的影响受到了限制。为了解决这一问题，先前已向学界提供了一个综合数据集，其中包含来自磁共振成像的心脏解剖结构和纤维取向，以及在灌注的离体猪心脏上通过光学标测测量的心外膜跨膜电位。这些数据被用于开发和定制四个具有不同细节水平的心脏电生理模型，包括一个个性化的快速传导浦肯野系统、跨膜电位三维分布的最大后验估计、一个简化的反应 - 扩散模型的个性化，以及一个具有通用传导参数的详细生物物理模型。本研究在分析了这四个模型的共同特征和差异之后，提出将它们整合到一个单一的建模和模拟流程中。所提出的集成流程在不同起搏条件下对去极化等时线的预测能力有所提高。(C) 2011爱思唯尔有限公司。保留所有权利。