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Tong L, Zhao C, Fu Z, Dong R, Wu Z, Wang Z, Zhang N, Wang X, Cao B, Sun Y, Zheng D, Xia L, Deng D. Preliminary Study: Learning the Impact of Simulation Time on Reentry Location and Morphology Induced by Personalized Cardiac Modeling. Front Physiol 2021; 12:733500. [PMID: 35002750 PMCID: PMC8739986 DOI: 10.3389/fphys.2021.733500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 11/30/2021] [Indexed: 11/13/2022] Open
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.
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Affiliation(s)
- Lv Tong
- School of Biomedical Engineering, Dalian University of Technology, Dalian, China
| | - Caiming Zhao
- Department of Cardiology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Zhenyin Fu
- College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China
| | - Ruiqing Dong
- Department of Cardiology, Dushu Lake Hospital Affiliated to Soochow University, Suzhou, China
| | - Zhenghong Wu
- College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China
| | - Zefeng Wang
- Department of Cardiology, Beijing Anzhen Hospital Affiliated to Capital Medical University, Beijing, China
| | - Nan Zhang
- Department of Radiology, Beijing Anzhen Hospital Affiliated to Capital Medical University, Beijing, China
| | - Xinlu Wang
- Department of Cardiology, Beijing Anzhen Hospital Affiliated to Capital Medical University, Beijing, China
| | - Boyang Cao
- School of Biomedical Engineering, Dalian University of Technology, Dalian, China
| | - Yutong Sun
- School of Biomedical Engineering, Dalian University of Technology, Dalian, China
| | - Dingchang Zheng
- Research Centre for Intelligent Healthcare, Faculty of Health and Life Science, Coventry University, Coventry, United Kingdom
| | - Ling Xia
- College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China
| | - Dongdong Deng
- School of Biomedical Engineering, Dalian University of Technology, Dalian, China
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