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Segmentation And Modelisation For Reconstruction Of Arterial Bifurcations In Digital Angiography

This paper presents a sequence of processings applied in parallel on two stereoscopic projections of angiographic images, in order to detect vascular pathologies site on bifurcations. Following directing centerlines of the bifurcation detection via a peaktracking algorithm, vascular boundaries are searched via dynamic programmation on the image of the morphological gradient. The two segmented original images are then matched in order to build a 3D bifurcation model made of generalised cylinders. Ultimately, this model will be deformed to minimize an energy function using an optimization method. Preminilary steps of projection processing are displayed on images of real bifurcations.