Automatic detection of multiple and overlapping EP catheters in fluoroscopic sequences
Milletari F, Navab N, Fallavollita P (2013)
Publication Type: Conference contribution
Publication year: 2013
Journal
Book Volume: 8151 LNCS
Pages Range: 371-379
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Event location: JPN
ISBN: 9783642407598
DOI: 10.1007/978-3-642-40760-4_47
Abstract
We propose a method to perform automatic detection of electrophysiology (EP) catheters in fluoroscopic sequences. Our approach does not need any initialization, is completely automatic, and can detect an arbitrary number of catheters at the same time. The method is based on the usage of blob detectors and clustering in order to detect all catheter electrodes, overlapping or not, within the X-ray images. The proposed technique is validated on 1422 fluoroscopic images yielding a tip detection rate of 99.3% and mean distance of 0.5mm from manually labeled ground truth centroids for all electrodes. © 2013 Springer-Verlag.
Involved external institutions
Germany (DE)How to cite
APA:
Milletari, F., Navab, N., & Fallavollita, P. (2013). Automatic detection of multiple and overlapping EP catheters in fluoroscopic sequences. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 371-379). JPN.
MLA:
Milletari, Fausto, Nassir Navab, and Pascal Fallavollita. "Automatic detection of multiple and overlapping EP catheters in fluoroscopic sequences." Proceedings of the 16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013, JPN 2013. 371-379.
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