Technical Program

Paper Detail

Paper:	TH-PM-PS3.16
Session:	Cardiac and Vascular Imaging
Time:	Thursday, April 6, 15:20 - 16:40
Presentation:	Poster
Title:	Coronary Tree Extraction from X-Ray Angiograms Using Marked Point Processes
Authors:	Caroline Lacoste; IPAL, CNRS
	Gérard Finet; CREATIS (INSA/CNRS/Inserm/UCBL)
	Isabelle E. Magnin; CREATIS (INSA/CNRS/Inserm/UCBL)
Abstract:	In this paper, we use marked point processes to perform an unsupervised extraction of the coronary tree from 2D X-ray angiography. These processes provide a rigorous framework based on measure theory to describe a scene by an unordered set of objects. Firstly, the thick branches are detected at low resolution using a segment process. Secondly, a polygon tree is derived from this first result at high resolution to represent the main part of the coronary tree. Finally, new branches are extracted using a recursive algorithm based on the modeling of the descendants of a given branch by a polyline process in the neighborhood of this branch. Process optimization is done via simulated annealing using a reversible jump Markov chain Monte Carlo algorithm. Experimental results show the relevance of the object process models.

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