Detection of electrophysiology catheters in noisy fluoroscopy images

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

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

33 Citaten (Scopus)

Samenvatting

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.
Originele taal-2Engels
TitelProceedings of the 9th International Conference on Medical Image Computing and Computer-Assisted Intervention part II (MICCAI 2006), 1-6 October 2006, Copenhagen, Denmark
Plaats van productieBerlin / Heidelberg
UitgeverijSpringer
Pagina's25-32
ISBN van geprinte versie978-3-540-44727-6
DOI's
StatusGepubliceerd - 2006
Evenementconference; 9th International Conference; 2006-10-01; 2006-10-06 -
Duur: 1 okt. 20066 okt. 2006

Publicatie series

NaamLecture Notes in Computer Science
Volume4191
ISSN van geprinte versie0302-9743

Congres

Congresconference; 9th International Conference; 2006-10-01; 2006-10-06
Periode1/10/066/10/06
Ander9th International Conference

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