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29 March 2007 Automated hierarchical partitioning of anatomical trees
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Abstract
A robust, fast and generally applicable algorithm is presented for the splitting of anatomical trees such as vessel and airway trees into meaningful subtrees, which relies on a straightforward mathematical objective function and produces subjectively very satisfactory results. The algorithm is applicable to unstructured 2D or 3D voxel sets or undirected graphs of centerlines with unknown anatomical root point as produced by unsupervised segmentation algorithms. The automated tree splitting improves clinical tree segmentation tasks by replacing tedious manual three-dimensional navigation and editing.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rafael Wiemker, Thomas Bülow, and Roland Opfer "Automated hierarchical partitioning of anatomical trees", Proc. SPIE 6511, Medical Imaging 2007: Physiology, Function, and Structure from Medical Images, 65110G (29 March 2007); https://doi.org/10.1117/12.705854
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