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Proceedings Paper

Automated hierarchical partitioning of anatomical trees
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Paper 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.

Paper Details

Date Published: 29 March 2007
PDF: 9 pages
Proc. SPIE 6511, Medical Imaging 2007: Physiology, Function, and Structure from Medical Images, 65110G (29 March 2007); doi: 10.1117/12.705854
Show Author Affiliations
Rafael Wiemker, Philips Research Europe (Germany)
Thomas Bülow, Philips Research Europe (Germany)
Roland Opfer, Philips Research Europe (Germany)


Published in SPIE Proceedings Vol. 6511:
Medical Imaging 2007: Physiology, Function, and Structure from Medical Images
Armando Manduca; Xiaoping P. Hu, Editor(s)

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