Graph-based geometric-iconic guide-wire tracking.

Nicolas Honnorat, Régis Vaillant, Nikos Paragios

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)9-16
Number of pages8
JournalMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
Volume14
Issue numberPt 1
StatePublished - 2011
Externally publishedYes

ASJC Scopus subject areas

  • Medicine(all)

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