Amerinex Applied Imaging, Inc. - The image understanding company

3D Skeletonization employs a robust and highly accurate process that is especially well-suited to the analysis of intricate objects like branched structures (see Figure 1). The module's output is a set of one-voxel thickness branches represented in a tree-like structure (see Figure 2). The resulting Skeletonization data is stored as an Aphelion ObjectSet that contains the attributes that define the skeleton. These include:

• Branch index;
• Level of branch in the hierarchy;
• Branch length (raw and calibrated);
• Length from each branch to the root;
• Associated skeleton label;
• Mother branch index;
• Number and index of each child branch; and
• Node coordinates in the 3D space.

While the 3D Skeletonization process specifies the root of the skeleton (i.e., the last node of an extremity), the user can manually specify a different root node. When a new root node is chosen, the tree structure and associated attributes are then automatically recomputed. This method enables the user to exhaustively analyze each connected component of the skeleton.

Typical Skeletonization applications include analysis of blood vessels, neural systems, and any other tree-like structure in 3D space. 3D skeletons greatly enhance a user's ability to quickly extract quantitative data from complex 3D structures.