@inproceedings{78ebd4d501bf4e7880d333ad2d923a1b,
title = "Graph-based geometric-iconic guide-wire tracking",
abstract = "In this paper we introduce a novel hybrid graph-based approach for Guide-wire tracking. The image support is captured by steerable filters and improved through tensor voting. Then, a graphical model is considered that represents guide-wire extraction/tracking through a B-spline control-point model. Points with strong geometric interest (landmarks) are automatically determined and anchored to such a representation. Tracking is then performed through discrete MRFs that optimize the spatio-temporal positions of the control points while establishing landmark temporal correspondences. Promising results demonstrate the potentials of our method.",
keywords = "Guide-wire, MRF, landmarks matching, simultaneous geometric-iconic registration, tracking",
author = "Nicolas Honnorat and R{\'e}gis Vaillant and Nikos Paragios",
year = "2011",
doi = "10.1007/978-3-642-23623-5_2",
language = "English (US)",
isbn = "9783642236228",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 1",
pages = "9--16",
booktitle = "Medical Image Computing and Computer-Assisted Intervention, MICCAI 2011 - 14th International Conference, Proceedings",
edition = "PART 1",
note = "14th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2011 ; Conference date: 18-09-2011 Through 22-09-2011",
}