The description and visualization of a vascular tree from 3D MR brain angiographic images
D. V. Sanko, Alexander V. Tuzikov · Pattern Recognition and Image Analysis · 2006
A description of 3D brain angiographic images discussed in this paper consists of several steps: (1) segmentation; (2) cavity deletion; (3) skeletonization; (4) characteristic table building. Topology structures, length, cross section area and volume measurements are computed for all trees of vascular network. Results are saved in an XML file. A human user can then work with the quantitative data in an interactive visualization system developed for virtual navigation through the extracted vascular network.