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.
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Submitted on : Friday, August 30, 2013 - 2:44:07 PM
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Nicolas Honnorat, Régis Vaillant, Nikos Paragios. Graph-Based Geometric-Iconic Guide-Wire Tracking. 14th International Conference on Medical Image Computing and Computer Assisted Intervention - MICCAI 2011, Sep 2011, Toronto, Canada. pp.9-16, ⟨10.1007/978-3-642-23623-5_2⟩. ⟨hal-00856106⟩



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