NDLI: Cardiac source localization by means of a single moving dipole solution during endocardial pacing in an animal model

Content Provider	IEEE Xplore Digital Library
Author	Dakun Lai Chenguang Liu Eggen, M.D. Iaizzo, P.A. Bin He
Copyright Year	2009
Description	Author affiliation: Department of Surgery, Minneapolis, MN 55455 USA (Eggen, M.D.; Iaizzo, P.A.) \|\| Department of Biomedical Engineering, 7-105 NHH, 312 Church Street SE, Minneapolis, MN 55455 USA (Dakun Lai; Chenguang Liu; Bin He)
Abstract	The accuracy of localizing the initiation site of cardiac activation by noninvasively estimating a single moving dipole (SMD) was investigated in a swine model. Body surface potential mapping (BSPM) and intracavitary noncontact mapping (NCM) were performed simultaneously during acute left ventricular (LV) endocardial pacing. For each animal, the boundary element model was constructed from preoperative magnetic resonance images (MRI). In each pacing study, the initiation site was localized by inversely estimating the location of an SMD from BSPM data. The results were compared with the precise pacing sites recorded by the NCM system. In total, four pacing sites from two pigs were analyzed, and the averaged source localization error was 16.8 ± 2.3 mm. The present results indicate the potential of localizing focal cardiac events by estimating single moving dipole.
Starting Page	1778
Ending Page	1780
File Size	727618
Page Count	3
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5334014
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Animals Magnetic resonance imaging Simultaneous localization and mapping Image reconstruction Helium Torso Inverse problems Biomedical imaging Biomedical engineering USA Councils
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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