Vascular Tree Characteristic Table Building From 3d Mr Brain Angiography Images

Abstract

Analysis of 3D brain angiography images implemented in this paper consists of several steps: (1) segmentation to extract the vascular tree; (2) cavity deletion to fill possible 3D holes inside the vasculature; (3) skeletonization to extract the central line of the vascular network; (4) characteristic table building, including raster to vector conversion and length, area and volume computation. This approach produces the characteristic table of the vasculature. The description includes length, cross section area and volume measurements of the tree. The table also stores the topology structure of the tree, so that the vasculature can be restored. The result is saved in XML file. The paper describes all these steps in details.