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Automatic electrode and CT/MR image co-localisation for electrocardiographic imaging

Research output: Chapter in Book/Report/Conference proceedingConference paper

YingLiang Ma, Umesh Mistry, Ashley Thorpe, R. James Housden, Zhong Chen, Walther H W Schulze, C. Aldo Rinaldi, Reza Razavi, Kawal S. Rhode

Original languageEnglish
Title of host publicationFunctional Imaging and Modeling of the Heart
Subtitle of host publication7th International Conference, FIMH 2013, London, UK, June 20-22, 2013. Proceedings
EditorsSébastien Ourselin , Daniel Rueckert, Nicolas Smith
PublisherSpringer Berlin Heidelberg
Pages268-275
Number of pages8
Volume7945 LNCS
ISBN (Print)9783642388989
DOIs
Publication statusPublished - 2013
Event7th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2013 - London, United Kingdom
Duration: 20 Jun 201322 Jun 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7945 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

Conference7th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2013
CountryUnited Kingdom
CityLondon
Period20/06/201322/06/2013

King's Authors

Abstract

Body surface potential mapping (BSPM) can be used to non-invasively measure the electrical activity of the heart using a dense set of thorax electrodes and a CT/MR scan of the thorax to solve the inverse problem of electrophysiology (ECGi). This technique now shows potential clinical value for the assessment and treatment of patients with arrhythmias. Co-localisation of the electrode positions and the CT/MR thorax scan is essential. This manuscript describes a method to perform the co-localisation using multiple biplane X-ray images. The electrodes are automatically detected and paired in the X-ray images. Then the 3D positions of the electrodes are computed and mapped onto the thorax surface derived from CT/MR. The proposed method is based on a multi-scale blob detection algorithm and the generalized Hough transform, which can automatically discriminate the leads used for BSPM from other ECG leads. The pairing method is based on epi-polar constraint matching and line pattern detection which assumes that BSPM electrodes are arranged in strips. The proposed methods are tested on a thorax phantom and two clinical cases. Results show an accuracy of 0.33 ± 0.20mm for detecting electrodes in the X-ray images and a success rate of 95.4%. The automatic pairing method achieves a 91.2% success rate.

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