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15 May 2003 A multiscale approach for the extraction of vessels
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In this communication we propose a new and automatic strategy for the multiscale centerlines detection of vessels. So we wish to obtain a good representation of the vessels, that is a precise characterization of their centerlines and their diameters. The adopted solution requires the generation of an image scale-space in which the various levels of details allow to treat arteries of any diameter. The method proposed here is implemented using the Partial Differential Equations (PDE) formalism and those of differential geometry. The differential geometry permits by the computation of a new measure of valley to characterize locally the centerlines of vessels as the image surface bottom lines of valleys. The informations given by the centerlines and valley measure scale spaces are used to obtain the 2D multiscale centerlines of the coronary arteries. In that purpose we construct a multiscale adjacency graph which permits to keep the K strongest (according to the valley measure) detections. Then the obtained detection is coded as an attributed graph. So the medical practitioner can act and choose the most interesting arteries for the future 3D reconstruction. Finally, we test our process on several digital coronary arteriograms, and some retinal angiographies.
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Benoit Tremblais, Bertrand Augereau, and Michel Leard "A multiscale approach for the extraction of vessels", Proc. SPIE 5032, Medical Imaging 2003: Image Processing, (15 May 2003);

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