Discrete Methods for Guide-wire Segmentation and Tracking

Abstract : In this report, we propose a complete pipeline for guide-wire segmentation and tracking in the context of cardiac angioplasty. Segmentation is addressed through a bottom up approach which first detects interest points using appropriate features. These points are then clustered into local segments using geometric and proximity constraints. Ordering of these segments through a local permutation model is finally carried out towards complete delineation of the guide-wire. Tracking is addressed using a discrete iconic-geometric approach. Control points are used to represent the guide-wire. Their displacements in time aims at optimizing an image-driven likelihood (on the same space used for segmentation), preserving the geometric characteristics of the curve while establishing correspondences for meaningful landmark points automatically extracted along the guide-wire. The tracking and the landmark correspondence problem form a two layer inter-connected graphical model, that is solved using linear programming towards simultaneous recovery of the two set of variables. Large scale clinical validation and comparisons with state of the art methods demonstrate the potentials of our method.
Complete list of metadatas

Cited literature [33 references]  Display  Hide  Download

https://hal.inria.fr/inria-00619723
Contributor : Nicolas Honnorat <>
Submitted on : Wednesday, September 21, 2011 - 7:00:18 AM
Last modification on : Thursday, February 7, 2019 - 5:29:16 PM
Long-term archiving on : Thursday, December 22, 2011 - 2:21:09 AM

File

RR-7718.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : inria-00619723, version 1

Collections

Citation

Nicolas Honnorat, Régis Vaillant, Nikos Paragios. Discrete Methods for Guide-wire Segmentation and Tracking. [Research Report] RR-7718, INRIA. 2011. ⟨inria-00619723⟩

Share

Metrics

Record views

413

Files downloads

402