Segmentation d'images ultrasonores par les régions actives géodésiques

This work is devoted to the segmentation of thrombosis in vivo venous ultrasound image. The evaluation of thrombosis size is of a big interest for the diagnosis of cardiovascular diseases. In this paper a new segmentation method for ultrasound images is developed, employing a geodesic active region model. This approach takes account both of boundary and region information using their statistical properties. The region information is approached with grey level distribution model and the estimation of the boundaries is based on the evolution of an initial curve using a level set method. The developed algorithm is tested on real B-mode ultrasound images, in vivo thrombus vein echotomographic images, to isolate the thrombus. The obtained experimental results have confirmed the ability of this approach to bound effectively the thrombus, and they pointed out also that the proposed method is adapted for ultrasound image segmentation.