Integrated Heart-Coupling multiscale and multiphysics models for the simulation of the cardiac function

被引:156
|
作者
Quarteroni, Alfio [1 ,2 ]
Lassila, Toni [1 ,3 ]
Rossi, Simone [1 ,4 ]
Ruiz-Baier, Ricardo [1 ,5 ]
机构
[1] Ecole Polytech Fed Lausanne, MATHICSE, Modelling & Sci Comp, CH-1015 Lausanne, Switzerland
[2] Politecn Milan, Dipartimento Matemat F Brioschi, MOX Modellist & Calcolo Sci, Via Bonardi 9, I-20133 Milan, Italy
[3] Univ Sheffield, Ctr Computat Imaging & Simulat Technol Biomed, Pam Liversidge Bldg,Mappin St, Sheffield S1 3JD, S Yorkshire, England
[4] Duke Univ, Civil & Environm Engn, Mech Engn & Mat Sci, Durham, NC USA
[5] Univ Oxford, Math Inst, Radcliffe Observ Quarter, A Wiles Bldg,Woodstock Rd, Oxford OX2 6GG, England
基金
欧洲研究理事会;
关键词
Coupling of multiphysics and multiscale models; Electrophysiology; Nonlinear elasticity; Navier-Stokes equations; Finite element methods; Simulation of cardiac diseases; REACTION-DIFFUSION SYSTEMS; FINITE-ELEMENT-METHOD; ACTION-POTENTIAL DURATION; NAVIER-STOKES EQUATIONS; LARGE-EDDY SIMULATION; BUNDLE-BRANCH BLOCK; ELECTROMECHANICAL MODEL; FIBER ORIENTATION; BIDOMAIN MODEL; LEFT-VENTRICLE;
D O I
10.1016/j.cma.2016.05.031
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Mathematical modeling of the human heart and its function can expand our understanding of various cardiac diseases, which remain the most common cause of death in the developed world. Like other physiological systems, the heart can be understood as a complex multiscale system involving interacting phenomena at the molecular, cellular, tissue, and organ levels. This article addresses the numerical modeling of many aspects of heart function, including the interaction of the cardiac electrophysiology system with contractile muscle tissue, the sub-cellular activation contraction mechanisms, as well as the hemodynamics inside the heart chambers. Resolution of each of these sub-systems requires separate mathematical analysis and specially developed numerical algorithms, which we review in detail. By using specific sub-systems as examples, we also look at systemic stability, and explain for example how physiological concepts such as microscopic force generation in cardiac muscle cells, translate to coupled systems of differential equations, and how their stability properties influence the choice of numerical coupling algorithms. Several numerical examples illustrate three fundamental challenges of developing multiphysics and multiscale numerical models for simulating heart function, namely: (i) the correct upscaling from single-cell models to the entire cardiac muscle, (ii) the proper coupling of electrophysiology and tissue mechanics to simulate electromechanical feedback, and (iii) the stable simulation of ventricular hemodynamics during rapid valve opening and closure. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:345 / 407
页数:63
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