Interactive 3D Human Heart Simulations on Segmented Human MRI Hearts

John P. Berman, Abouzar Kaboudian, Ilija Uzelac, Shahriar Iravanian, Tinen Iles, Paul A. Iaizzo, Hyunkyung Lim, Scott Smolka, James Glimm, Elizabeth M. Cherry, Flavio H. Fenton

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations


Understanding cardiac arrhythmic mechanisms and developing new strategies to control and terminate them using computer simulations requires realistic physiological cell models with anatomically accurate heart structures. Furthermore, numerical simulations must be fast enough to study and validate model and structure parameters. Here, we present an interactive parallel approach for solving detailed cell dynamics in high-resolution human heart structures with a local PC's GPU. In vitro human heart MRI scans were manually segmented to produce 3D structures with anatomically realistic electrophysiology. The Abubu.js library was used to create an interactive code to solve the OVVR human ventricular cell model and the FDA extension of the model in the human MRI heart structures, allowing the simulation of reentrant waves and investigation of their dynamics in real time. Interactive simulations of a physiological cell model in a detailed anatomical human heart reveals propagation of waves through the fine structures of the trabeculae and pectinate muscle that can perpetuate arrhythmias, thereby giving new insights into effects that may need to be considered when planning ablation and other defibrillation methods.

Original languageEnglish (US)
Title of host publication2021 Computing in Cardiology, CinC 2021
PublisherIEEE Computer Society
ISBN (Electronic)9781665479165
StatePublished - 2021
Event2021 Computing in Cardiology, CinC 2021 - Brno, Czech Republic
Duration: Sep 13 2021Sep 15 2021

Publication series

NameComputing in Cardiology
ISSN (Print)2325-8861
ISSN (Electronic)2325-887X


Conference2021 Computing in Cardiology, CinC 2021
Country/TerritoryCzech Republic

Bibliographical note

Funding Information:
This study was supported in part by the National Science Foundation grants NSF-FDA-2037894 (FHF,AK), CMMI-2011280 (EMC), CNS-1446675, CMMI-1762553 (FHF) and CPS-1446832 (SAS), and by the National Institutes of Health grant 1R01HL143450-01 (EMC and FHF).

Publisher Copyright:
© 2021 Creative Commons.


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