AI RESEARCH
RefTr: Recurrent Refinement of Confluent Trajectories for 3D Vascular Tree Centerlines
arXiv CS.AI
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ArXi:2511.20823v2 Announce Type: replace-cross Tubular tree structures such as blood vessels and lung airways are central to many clinical tasks, including diagnosis, treatment planning, and surgical navigation. Accurate centerline extraction with correct topology is essential, as missing small branches can lead to incomplete assessments or overlooked abnormalities. We propose RefTr, a 3D image-to-graph framework that generates vascular centerlines via recurrent refinement of confluent trajectories.