ECG imaging of ventricular tachycardia: Evaluation against simultaneous non-contact mapping and CMR-derived grey zone

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Schulze, Walther H. W., Chen, Zhong, Relan, Jatin, Potyagaylo, Danila, Krueger, Martin W., Karim, Rashed, Sohal, Manav, Shetty, Anoop, Ma, YingLiang ORCID: https://orcid.org/0000-0001-5770-5843, Ayache, Nicholas, Sermesant, Maxime, Delingette, Herve, Bostock, Julian, Razavi, Reza, Rhode, Kawal S., Rinaldi, Christopher A. and Dössel, Olaf (2017) ECG imaging of ventricular tachycardia: Evaluation against simultaneous non-contact mapping and CMR-derived grey zone. Medical & Biological Engineering & Computing, 55. 979–990. ISSN 1741-0444

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Abstract

ECG imaging is an emerging technology for the reconstruction of cardiac electric activity from non-invasively measured body surface potential maps. In this case report, we present the first evaluation of transmurally imaged activation times against endocardially reconstructed isochrones for a case of sustained monomorphic ventricular tachycardia (VT). Computer models of the thorax and whole heart were produced from MR images. A recently published approach was applied to facilitate electrode localization in the catheter laboratory, which allows for the acquisition of body surface potential maps while performing non-contact mapping for the reconstruction of local activation times. ECG imaging was then realized using Tikhonov regularization with spatio-temporal smoothing as proposed by Huiskamp and Greensite and further with the spline-based approach by Erem et al. Activation times were computed from transmurally reconstructed transmembrane voltages. The results showed good qualitative agreement between the non-invasively and invasively reconstructed activation times. Also, low amplitudes in the imaged transmembrane voltages were found to correlate with volumes of scar and grey zone in delayed gadolinium enhancement cardiac MR. The study underlines the ability of ECG imaging to produce activation times of ventricular electric activity-and to represent effects of scar tissue in the imaged transmembrane voltages.

Item Type:	Article
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Norwich Epidemiology Centre Faculty of Medicine and Health Sciences > Research Groups > Norwich Epidemiology Centre Faculty of Science > Research Groups > Data Science and AI
Related URLs:	https://pureportal.coventry.ac.uk/en/pub...
Depositing User:	LivePure Connector
Date Deposited:	05 Jan 2023 12:30
Last Modified:	10 Dec 2024 01:40
URI:	https://ueaeprints.uea.ac.uk/id/eprint/90433
DOI:	10.1007/s11517-016-1566-x

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