1. A computationally efficient physiologically comprehensive 3D-0D closed-loop model of the heart and circulation
- Author
-
Matthias A. F. Gsell, Edward J. Vigmond, Frits W. Prinzen, Christoph M. Augustin, Erik Willemen, Elias Karabelas, Joost Lumens, Gernot Plank, Biomedische Technologie, RS: Carim - H06 Electro mechanics, and RS: Carim - H07 Cardiovascular System Dynamics
- Subjects
CARDIAC ELECTROPHYSIOLOGY ,LEFT-VENTRICLE ,Frank–Starling mechanism ,Computer science ,Computational Mechanics ,General Physics and Astronomy ,030204 cardiovascular system & hematology ,Article ,03 medical and health sciences ,0302 clinical medicine ,Robustness (computer science) ,WINDKESSEL ,Limit cycle ,Transient response ,Ventricular pressure–volume relation ,Tissues and Organs (q-bio.TO) ,Ventricular pressure-volume relation ,FAILING HEART ,030304 developmental biology ,0303 health sciences ,BLOOD-FLOW ,Cardiac electrophysiology ,Mechanical Engineering ,Control engineering ,PRESSURE-VOLUME ,Quantitative Biology - Tissues and Organs ,Solver ,Replication (computing) ,SIMULATIONS ,Computer Science Applications ,ALGEBRAIC MULTIGRID SOLVER ,Range (mathematics) ,Ventricular load ,ELEMENT ,Mechanics of Materials ,FOS: Biological sciences ,FIBER ORIENTATION ,Frank-Starling mechanism ,Completeness (statistics) - Abstract
Computer models of cardiac electro-mechanics (EM) show promise as an effective means for the quantitative analysis of clinical data and, potentially, for predicting therapeutic responses. To 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., Graphic abstract
- Published
- 2020