Key result
High-resolution simulation of the human heart using high-performance computing was over 1200 times faster than published results, enabling the simulation of transmural re-entrant waves.
Effect estimate: over 1200 times faster
A novel high-performance computing approach enables real-time, high-resolution 3D simulation of human cardiac electrophysiology, including complex arrhythmias like Torsades de Pointes.
Rapid myocyte-resolution heart simulations now feasible; extends computational electrophysiology research but leaves clinical translation open.
We have developed the capability to rapidly simulate cardiac electrophysiological phenomena in a human heart discretised at a resolution comparable with the length of a cardiac myocyte. Previous scientific investigation has generally invoked simplified geometries or coarse-resolution hearts, with simulation duration limited to 10s of heartbeats. Using state-of-the-art high-performance computing techniques coupled with one of the most powerful computers available (the 20 PFlop/s IBM BlueGene/Q at Lawrence Livermore National Laboratory), high-resolution simulation of the human heart can now be carried out over 1200 times faster compared with published results in the field. We demonstrate the utility of this capability by simulating, for the first time, the formation of transmural re-entrant waves in a 3D human heart. Such wave patterns are thought to underlie Torsades de Pointes, an arrhythmia that indicates a high risk of sudden cardiac death. Our new simulation capability has the potential to impact a multitude of applications in medicine, pharmaceuticals and implantable devices.
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Richards et al. (2013) studied Cardiac electrophysiological phenomena / Torsades de Pointes. High-resolution simulation of the human heart using high-performance computing vs. Simplified geometries or coarse-resolution hearts (published results) was evaluated on Simulation speed and capability to simulate transmural re-entrant waves (over 1200 times faster). High-resolution simulation of the human heart using high-performance computing was over 1200 times faster than published results, enabling the simulation of transmural re-entrant waves.
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