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dc.contributor.authorRoujol, Sébastienen_US
dc.contributor.authorAnter, Eladen_US
dc.contributor.authorJosephson, Mark E.en_US
dc.contributor.authorNezafat, Rezaen_US
dc.date.accessioned2014-03-11T02:49:04Z
dc.date.issued2013en_US
dc.identifier.citationRoujol, Sébastien, Elad Anter, Mark E. Josephson, and Reza Nezafat. 2013. “Characterization of Respiratory and Cardiac Motion from Electro-Anatomical Mapping Data for Improved Fusion of MRI to Left Ventricular Electrograms.” PLoS ONE 8 (11): e78852. doi:10.1371/journal.pone.0078852. http://dx.doi.org/10.1371/journal.pone.0078852.en
dc.identifier.issn1932-6203en
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:11879089
dc.description.abstractAccurate fusion of late gadolinium enhancement magnetic resonance imaging (MRI) and electro-anatomical voltage mapping (EAM) is required to evaluate the potential of MRI to identify the substrate of ventricular tachycardia. However, both datasets are not acquired at the same cardiac phase and EAM data is corrupted with respiratory motion limiting the accuracy of current rigid fusion techniques. Knowledge of cardiac and respiratory motion during EAM is thus required to enhance the fusion process. In this study, we propose a novel approach to characterize both cardiac and respiratory motion from EAM data using the temporal evolution of the 3D catheter location recorded from clinical EAM systems. Cardiac and respiratory motion components are extracted from the recorded catheter location using multi-band filters. Filters are calibrated for each EAM point using estimates of heart rate and respiratory rate. The method was first evaluated in numerical simulations using 3D models of cardiac and respiratory motions of the heart generated from real time MRI data acquired in 5 healthy subjects. An accuracy of 0.6–0.7 mm was found for both cardiac and respiratory motion estimates in numerical simulations. Cardiac and respiratory motions were then characterized in 27 patients who underwent LV mapping for treatment of ventricular tachycardia. Mean maximum amplitude of cardiac and respiratory motion was 10.2±2.7 mm (min = 5.5, max = 16.9) and 8.8±2.3 mm (min = 4.3, max = 14.8), respectively. 3D Cardiac and respiratory motions could be estimated from the recorded catheter location and the method does not rely on additional imaging modality such as X-ray fluoroscopy and can be used in conventional electrophysiology laboratory setting.en
dc.language.isoen_USen
dc.publisherPublic Library of Scienceen
dc.relation.isversionofdoi:10.1371/journal.pone.0078852en
dc.relation.hasversionhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC3826750/pdf/en
dash.licenseLAAen_US
dc.titleCharacterization of Respiratory and Cardiac Motion from Electro-Anatomical Mapping Data for Improved Fusion of MRI to Left Ventricular Electrogramsen
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden
dc.relation.journalPLoS ONEen
dash.depositing.authorRoujol, Sébastienen_US
dc.date.available2014-03-11T02:49:04Z
dc.identifier.doi10.1371/journal.pone.0078852*
dash.contributor.affiliatedRoujol, Sébastien
dash.contributor.affiliatedJosephson, Mark
dash.contributor.affiliatedAnter, Elad
dash.contributor.affiliatedNezafat, Reza


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