@inproceedings{bdfd73d4046c45b483c081fccecf7b2b,
title = "Detection of electrophysiology catheters in noisy fluoroscopy images",
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.",
author = "E.M. Franken and P.M.J. Rongen and {Almsick, van}, M.A. and {Haar Romenij, ter}, B.M.",
year = "2006",
doi = "10.1007/11866763",
language = "English",
isbn = "978-3-540-44727-6",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "25--32",
booktitle = "Proceedings of the 9th International Conference on Medical Image Computing and Computer-Assisted Intervention part II (MICCAI 2006), 1-6 October 2006, Copenhagen, Denmark",
address = "Germany",
note = "conference; 9th International Conference; 2006-10-01; 2006-10-06 ; Conference date: 01-10-2006 Through 06-10-2006",
}