Detection of electrophysiology catheters in noisy fluoroscopy images

E.M. Franken, P.M.J. Rongen, M.A. Almsick, van, B.M. Haar Romenij, ter

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

30 Citations (Scopus)

Abstract

Cardiac catheter ablation is a minimally invasive medical procedure to treat patients with heart rhythm disorders. It is useful to know the positions of the catheters and electrodes during the intervention, e.g. for the automatization of cardiac mapping. Our goal is therefore to develop a robust image analysis method that can detect the catheters in X-ray fluoroscopy images. Our method uses steerable tensor voting in combination with a catheter-specific multi-step extraction algorithm. The evaluation on clinical fluoroscopy images shows that especially the extraction of the catheter tip is successful and that the use of tensor voting accounts for a large increase in performance.
Original languageEnglish
Title of host publicationProceedings of the 9th International Conference on Medical Image Computing and Computer-Assisted Intervention part II (MICCAI 2006), 1-6 October 2006, Copenhagen, Denmark
Place of PublicationBerlin / Heidelberg
PublisherSpringer
Pages25-32
ISBN (Print)978-3-540-44727-6
DOIs
Publication statusPublished - 2006
Eventconference; 9th International Conference; 2006-10-01; 2006-10-06 -
Duration: 1 Oct 20066 Oct 2006

Publication series

NameLecture Notes in Computer Science
Volume4191
ISSN (Print)0302-9743

Conference

Conferenceconference; 9th International Conference; 2006-10-01; 2006-10-06
Period1/10/066/10/06
Other9th International Conference

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