Model-based segmentation of the left main coronary bifurcation from 2D angiograms

Romain Lacroix (1) , Raoul Florent (1) , Vincent Auvray (1)

1 Medisys - MedisysResearch Lab

This paper deals with the identification of the left main coronary bifurcation (LMB) in 2D angiograms. We resort to a generic 3D model of the LMB that is projected in the proper angulation to retrieve the expected 2D skeleton of the LMB in the considered image. We derive from it an efficient discriminating filter that allows detecting the LMB, while being robust to anatomical variations. We demonstrate the potential of the method over a large database of 120 angiographic sequences from 15 patients. We also propose a method extension that exploits not only the present angiography, but also the previous ones, as acquired in the course of the exam. (c) 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. This paper is also available with the following DOI: http://dx.doi.org/DOI10.1109/ISBI.2012.6235664

Mots clés: Coronary arteries; model-based segmentation.; model-based segmentation

Domaines: Imagerie médicale; Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Romain Lacroix, Raoul Florent, Vincent Auvray. Model-based segmentation of the left main coronary bifurcation from 2D angiograms. Biomedical Imaging: Nano to Macro, 2012. 9th IEEE International Symposium on (ISBI 2012), May 2012, Barcelone, Spain. pp.780--783, ⟨10.1109/ISBI.2012.6235664⟩. ⟨hal-00722949⟩