{"title":"Breakthrough Wave Detection in a 3D Computer Model of Atrial Endo-Epicardial Dissociation","authors":"Eric Irakoze, V. Jacquemet","doi":"10.22489/CinC.2020.425","DOIUrl":null,"url":null,"abstract":"Experimental and clinical mapping of atrial fibrillation has revealed the occurrence of breakthrough activation patterns. These focal waves have been associated with endo-epicardial (endo-epi) dissociation and three-dimensional anatomical structures. To assess breakthrough detection techniques in computer models of atrial fibrillation, we created a 3D cubic-mesh atrial model with locally controllable endo-epi dissociation. In this model, epi and endo layers were electrically coupled only at randomly-distributed discrete connection sites. Eighteen endo-epi connection patterns were generated. Dedicated finite-difference numerical methods were developed to handle these discontinuities in conduction. These configurations were designed to generate breakthroughs at predictable locations. We developed a breakthrough detection algorithm based on full-resolution activation maps of both the epi- and endocardial surfaces. Wave tracking was used to calculate the lifespan of breakthroughs. Non-propagating passive responses and breakthroughs with too short lifespan were eliminated. The approach was manually and automatically validated in 48 episodes of fibrillation in models with varying number of endo-epi connections.","PeriodicalId":407282,"journal":{"name":"2020 Computing in Cardiology","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Computing in Cardiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22489/CinC.2020.425","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Experimental and clinical mapping of atrial fibrillation has revealed the occurrence of breakthrough activation patterns. These focal waves have been associated with endo-epicardial (endo-epi) dissociation and three-dimensional anatomical structures. To assess breakthrough detection techniques in computer models of atrial fibrillation, we created a 3D cubic-mesh atrial model with locally controllable endo-epi dissociation. In this model, epi and endo layers were electrically coupled only at randomly-distributed discrete connection sites. Eighteen endo-epi connection patterns were generated. Dedicated finite-difference numerical methods were developed to handle these discontinuities in conduction. These configurations were designed to generate breakthroughs at predictable locations. We developed a breakthrough detection algorithm based on full-resolution activation maps of both the epi- and endocardial surfaces. Wave tracking was used to calculate the lifespan of breakthroughs. Non-propagating passive responses and breakthroughs with too short lifespan were eliminated. The approach was manually and automatically validated in 48 episodes of fibrillation in models with varying number of endo-epi connections.