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This paper presents a level set based method for segmenting the outer vessel wall and plaque components of the carotid artery in CTA. The method employs a GentleBoost classification framework that classifies pixels as calcified region or not, and inside or outside the vessel wall. The combined result of both classifications is used to construct a speed function for level set based segmentation of the outer vessel wall; the segmented lumen is used to initialize the level set. The method has beendoi:10.1117/12.878114 dblp:conf/miip/VukadinovicWMRL11 fatcat:hk5dmvvjljgnjphjt5qpxx353m