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What is Octtrees

Handbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications
3D space divison data structures analogous to 2D quad trees. Used for storage, compression, collision detection, point search etc.of 3D models.
Published in Chapter:
Combining Geometry and Image in Biomedical Systems: The RT TPS Case
Thomas V. Kilindris (University of Thessaly, Greece) and Kiki Theodorou (University of Thessaly, Greece)
DOI: 10.4018/978-1-60566-314-2.ch013
Abstract
Patient anatomy, biochemical response, as well functional evaluation at organ level, are key fields that produce a significant amount of multi modal information during medical diagnosis. Visualization, processing, and storage of the acquired data sets are essential tasks in everyday medical practice. In order to perform complex processing that involves or rely on image data a robust as well versatile data structure was used as extension of the Visualization Toolkit (VTK). The proposed structure serves as a universal registration container for acquired information and post processed resulted data. The structure is a dynamic multidimensional data holder to host several modalities and/or Meta data like fused image sets, extracted features (volumetric, surfaces, edges) providing a universal coordinate system used for calculations and geometric processes. A case study of Treatment Planning System (TPS) in the stereotactic radiotherapy (RT) based on the proposed structure is discussed as an efficient medical application.
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