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Contextual Picking of Volumetric Structures

Peter Kohlmann, Stefan Bruckner, Armin Kanitsar, M. Eduard Gröller

CONFERENCE PAPER: In Proceedings of the IEEE Pacific Visualization 2009, pp. 185–192, 2009. DOI: 10.1109/PACIFICVIS.2009.4906855

Abstract

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.

Published

Proceedings of the IEEE Pacific Visualization 2009

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BibTeX

@INPROCEEDINGS{Kohlmann-2009-CPV,
  author = {Peter Kohlmann and Stefan Bruckner and Armin Kanitsar and M.
	Eduard Gr{\"o}ller},
  title = {Contextual Picking of Volumetric Structures},
  booktitle = {Proceedings of the IEEE Pacific Visualization 2009},
  year = {2009},
  editor = {Peter Eades, Thomas Ertl, Han-Wei Shen},
  pages = {185--192},
  month = may,
  abstract = {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.},
  doi = {10.1109/PACIFICVIS.2009.4906855},
  isbn = {978-1-4244-4404-5},
  keywords = {picking, interaction, selection, volume visualization},
  location = {Peking, China},
  url = {http://www.cg.tuwien.ac.at/research/publications/2009/kohlmann-2009-cp/}
}






 Last Modified: Stefan Bruckner, 2014-08-15