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.
authors: General Electric Healthcare, Buc, France.
authors: Nicolas
authors: N
authors: Honnorat
authors: Régis
authors: R
authors: Vaillant
authors: Nikos
authors: N
authors: Paragios
mesh_terms: D000465:Algorithms; D017130:Angioplasty / Q000379:methods*; D006348:Cardiac Surgical Procedures; D004867:Equipment Design; D005471:Fluoroscopy / Q000295:instrumentation* / Q000379:methods; D006801:Humans; D008390:Markov Chains; D008422:Materials Testing; D015233:Models, Statistical; D008962:Models, Theoretical; D010363:Pattern Recognition, Automated / Q000379:methods; D015203:Reproducibility of Results