Preliminary Study: Learning the Impact of Simulation Time on Reentry Location and Morphology Induced by Personalized Cardiac Modeling

Lv Tong, Caiming Zhao, Zhenyin Fu, Ruiqing Dong, Zhenghong Wu, Zefeng Wang, Nan Zhang, Xinlu Wang, Boyang Cao, Yutong Sun, Dingchang Zheng, Ling Xia, Dongdong Deng

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    Abstract

    Personalized cardiac modeling is widely used for studying the mechanisms of cardiac arrythmias. Due to the high demanding of computational resource of modeling, the arrhythmias induced in the models are usually simulated for just a few seconds. In clinic, it is common that arrhythmias last for more than several minutes and the morphologies of reentries are not always stable, so it is not clear that whether the simulation of arrythmias for just a few seconds is long enough to match the arrhythmias detected in patients. This study aimed to observe how long simulation of the induced arrhythmias in the personalized cardiac models is sufficient to match the arrhythmias detected in patients. A total of 5 contrast enhanced MRI datasets of patient hearts with myocardial infarction were used in this study. Then, a classification method based on Gaussian mixture model was used to detect the infarct tissue. For each reentry, 3 s and 10 s were simulated. The characteristics of each reentry simulated for different duration were studied. Reentries were induced in all 5 ventricular models and sustained reentries were induced at 39 stimulation sites in the model. By analyzing the simulation results, we found that 41% of the sustained reentries in the 3 s simulation group terminated in the longer simulation groups (10 s). The second finding in our simulation was that only 23.1% of the sustained reentries in the 3 s simulation did not change location and morphology in the extended 10 s simulation. The third finding was that 35.9% reentries were stable in the 3 s simulation and should be extended for the simulation time. The fourth finding was that the simulation results in 10 s simulation matched better with the clinical measurements than the 3 s simulation. It was shown that 10 s simulation was sufficient to make simulation results stable. The findings of this study not only improve the simulation accuracy, but also reduce the unnecessary simulation time to achieve the optimal use of computer resources to improve the simulation efficiency and shorten the simulation time to meet the time node requirements of clinical operation on patients.

    Original languageEnglish
    Article number733500
    Number of pages10
    JournalFrontiers in Physiology
    Volume12
    Early online date24 Dec 2021
    DOIs
    Publication statusE-pub ahead of print - 24 Dec 2021

    Bibliographical note

    This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    Funder

    National Natural Science Foundation of China (81901841 to DD), Fundamental Research Funds for the Central Universities (DUT21YG102 to DD), and Key Research and Development Program of Zhejiang Province (2020C03016 to LX).

    Keywords

    • arrhythmias
    • computational modeling
    • Gaussian mixture model method
    • reentry
    • simulation time

    ASJC Scopus subject areas

    • Physiology
    • Physiology (medical)

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