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Simulation of intracardiac electrograms around acute ablation lesions

Greiner, Joachim; Pollnow, Stefan; Schuler, Steffen; Lenis, Gustavo; Seemann, Gunnar; Dössel, Olaf


Radiofrequency ablation (RFA) is a widely used clinical treatment for many types of cardiac arrhythmias. However, nontransmural lesions and gaps between linear lesions often lead to recurrence of the arrhythmia. Intracardiac electrograms (IEGMs) provide real-time information regarding the state of the cardiac tissue surrounding the catheter tip. Nevertheless, the formation and interpretation of IEGMs during the RFA procedure is complex and yet not fully understood. In this in-silico study, we propose a computational model for acute ablation lesions. Our model consists of a necrotic scar core and a border zone, describing irreversible and reversible temperature induced electrophysiological phenomena. These phenomena are modeled by varying the intra- and extracellular conductivity of the tissue as well as a regulating zone factor. The computational model is evaluated regarding its feasibility and validity. Therefore, this model was compared to an existing one and to clinical measurements of five patients undergoing RFA. The results show that the model can indeed be used to recreate IEGMs. We computed IEGMs arising from complex ablation scars, such as scars with gaps or two overlapping ellipsoid scars. ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000135287
Veröffentlicht am 13.07.2021
DOI: 10.1515/cdbme-2016-0134
Zitationen: 2
Zitationen: 2
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Biomedizinische Technik (IBT)
Universität Karlsruhe (TH) – Interfakultative Einrichtungen (Interfakultative Einrichtungen)
Karlsruhe School of Optics & Photonics (KSOP)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 09.2016
Sprache Englisch
Identifikator ISSN: 2364-5504
KITopen-ID: 1000135287
Erschienen in Current directions in biomedical engineering
Verlag De Gruyter
Band 2
Heft 1
Seiten 607–610
Schlagwörter acute ablation lesions; in-silico modelling; intracardiac electrograms; radiofrequency ablation
Nachgewiesen in Dimensions
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