Information

Abstract

This paper presents two techniques for the linking of 2D and 3D views in medical applications. Hereby, the goal is a better integration of 3D volume visualization into the diagnostic workflow. Until now, the main obstacle for a good integration is the time-consuming process to adjust various parameters. The LiveSync interaction metaphor is a new concept to synchronize 2D slice views and 3D volumetric views of medical data sets. A single intuitive picking interaction on anatomical structures which are detected in 2D slices results in an automatically generated 3D view. To further improve the integration contextual picking is presented as a method for the interactive identification of contextual interest points within volumetric data. Our results demonstrate how these techniques improve the efficiency to generate diagnostically relevant images and how contextual interest points can, e.g., facilitate the highlighting of relevant structures.

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BibTeX

@techreport{TR-186-2-08-14,
  title =      "Smart Linking of 2D and 3D Views in Medical Applications",
  author =     "Peter Kohlmann and Stefan Bruckner and Armin Kanitsar and
               Meister Eduard Gr\"{o}ller",
  year =       "2008",
  abstract =   "This paper presents two techniques for the linking of 2D and
               3D views in medical applications. Hereby, the goal is a
               better integration of 3D volume visualization into the
               diagnostic workflow. Until now, the main obstacle for a good
               integration is the time-consuming process to adjust various
               parameters. The LiveSync interaction metaphor is a new
               concept to synchronize 2D slice views and 3D volumetric
               views of medical data sets. A single intuitive picking
               interaction on anatomical structures which are detected in
               2D slices results in an automatically generated 3D view. To
               further improve the integration contextual picking is
               presented as a method for the interactive identification of
               contextual interest points within volumetric data. Our
               results demonstrate how these techniques improve the
               efficiency to generate diagnostically relevant images and
               how contextual interest points can, e.g., facilitate the
               highlighting of relevant structures.",
  month =      dec,
  number =     "TR-186-2-08-14",
  address =    "Favoritenstrasse 9-11/E193-02, A-1040 Vienna, Austria",
  institution = "Institute of Computer Graphics and Algorithms, Vienna
               University of Technology ",
  note =       "human contact: technical-report@cg.tuwien.ac.at",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-14/",
}