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Segmentation of 3D tubular objects with adaptive front propagation and minimal tree extraction for 3D medical imaging
2007
Computer Methods in Biomechanics and Biomedical Engineering
Received B; revised B; in final form B) Q2 We present a new fast approach for segmentation of thin branching structures, like vascular trees, based on Fast-Marching (FM) and Level Set (LS) methods. FM allows segmentation of tubular structures by inflating a "long balloon" from a user given single point. However, when the tubular shape is rather long, the front propagation may blow up through the boundary of the desired shape close to the starting point. Our contribution is focused on a method
doi:10.1080/10255840701328239
pmid:17671862
fatcat:g4pn5lvuj5bf5mahdexqz523cq