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Visualization Symposium, IEEE Pacific (2009)
Beijing, China
Apr. 20, 2009 to Apr. 23, 2009
ISBN: 978-1-4244-4404-5
pp: 185-192
Peter Kohlmann , Vienna University of Technology, Austria
Stefan Bruckner , Vienna University of Technology, Austria
Armin Kanitsar , AGFA HealthCare, Austria
M. Eduard Groller , Vienna University of Technology, Austria
This paper presents a novel method for the interactive identification of contextual interest points within volumetric data by picking on a direct volume rendered image. In clinical diagnostics the points of interest are often located in the center of anatomical structures. In order to derive the volumetric position which allows a convenient examination of the intended structure, the system automatically extracts contextual meta information from the DICOM (Digital Imaging and Communications in Medicine) images and the setup of the medical workstation. Along a viewing ray for a volumetric picking, the ray profile is analyzed for structures which are similar to predefined templates from a knowledge base. We demonstrate with our results that the obtained position in 3D can be utilized to highlight a structure in 2D slice views, to interactively calculate centerlines of tubular objects, or to place labels at contextually-defined volumetric positions.

A. Kanitsar, S. Bruckner, P. Kohlmann and M. E. Groller, "Contextual picking of volumetric structures," 2009 IEEE Pacific Visualization Symposium(PACIFICVIS), Beijing, 2009, pp. 185-192.
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