Detection of electrophysiology catheters in noisy fluoroscopy images

Authors:
Erik Franken;Peter Rongen;Markus van Almsick;Bart ter Haar Romeny
Affiliations:
Department of Biomedical Engineering, Technische Universiteit Eindhoven, Eindhoven, The Netherlands;Philips Medical Systems, Best, The Netherlands;Department of Biomedical Engineering, Technische Universiteit Eindhoven, Eindhoven, The Netherlands;Department of Biomedical Engineering, Technische Universiteit Eindhoven, Eindhoven, The Netherlands
Venue:
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
Year:
2006

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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.