Towards real-time simulation of cardiac electrophysiology in a human heart at high resolution

David F. Richards, James N. Glosli, Erik W. Draeger, Arthur A. Mirin, Bor Chan, Jean luc Fattebert, William D. Krauss, Tomas Oppelstrup, Chris J. Butler, John A. Gunnels, Viatcheslav Gurev, Changhoan Kim, John Magerlein, Matthias Reumann, Hui Fang Wen, John Jeremy Rice

Research output: Contribution to journalLetterpeer-review

40 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)802-805
Number of pages4
JournalComputer Methods in Biomechanics and Biomedical Engineering
Volume16
Issue number7
DOIs
StatePublished - Jul 2013
Externally publishedYes

Funding

q This article has been authored by Lawrence Livermore National Security under Contract No. DE-AC52-07NA27344 with the U.S. Department of Energy. Accordingly, the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this article or allow others to do so, for United States Government purposes. We thank the Advanced Scientific Computing program of the National Nuclear Security Administration, U.S. Department of Energy for their support. This work was carried out under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344. This is LLNL report LLNL-JRNL-624292.

FundersFunder number
U.S. Department of Energy
Lawrence Livermore National LaboratoryDE-AC52-07NA27344

    Keywords

    • arrhythmia
    • cardiac electrophysiology
    • cardiac models
    • high-performance computing
    • simulation

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