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Lumen segmentation is relevant for quantification of the degree of stenoses and as preprocessing step for the analysis of the vessel wall, and for the simulation and planing of interventions. Although lumen segmentation in CTA has received considerable interest, it remains a challenge for atherosclerotic vessels. In this paper we propose a semi-automatic lumen segmentation method using a levelset approach, which utilizes both boundary information and regional intensity information to accuratelydoi:10.1109/isbi.2012.6235537 dblp:conf/isbi/TangWHSLVN12 fatcat:ldybwyw7d5f5dd7ylialhow34m