Fully-Coupled Electromechanical Simulations of the LV Dog Anatomy Using HPC: Model Testing and Verification

Abstract

Abstract. Verification of electro-mechanic models of the heart require a good amount of reliable, high resolution, thorough in-vivo measurements. The detail of the mathematical models used to create simulations of the heart beat vary greatly. Generally, the objective of the simulation determines the modeling approach. However, it is important to exactly quantify the amount of error between the various approaches that can be used to simulate a heart beat by comparing them to ground truth data. The more detailed the model is, the more computing power it requires, we therefore employ a high-performance computing solver throughout this study. We aim to compare models to data measured experimentally to identify the effect of using a mathematical model of fibre orientation versus the measured fibre orientations using DT-MRI. We also use simultaneous endocardial stimuli vs an instantaneous myocardial stimulation to trigger the mechanic contraction. Our results show that synchronisation of the electrical and mechanical events in the heart beat are necessary to create a physiological timing of hemodynamic events. Synchronous activation of all of the myocardium provides an unrealistic timing of hemodynamic events in the cardiac cycle. Results also show the need of establishing a protocol to quantify the zero-pressure configuration of the left ventricular geometry to initiate the simulation protocol; however, the predicted zero-pressure configuration of the same geometry was different, depending on the origin of the fibre field employed.

A Numerical Study of Scalable Cardiac Electro-Mechanical Solvers on HPC Architectures

“…However, the computational costs required by the solution of the mathematical models describing the cardiac bioelectrical and mechanical activity are still too high to allow their use in a clinical setting. Therefore, there is a strong effort in the research community to develop effective computational tools and to speedup the simulation of the cardiac electro-mechanical activity (see e.g., Vázquez et al, 2011 ; Lafortune et al, 2012 ; Washio et al, 2013 ; Aguado-Sierra et al, 2015 ; Gurev et al, 2015 ; Land et al, 2015 ; Augustin et al, 2016 ).…”