Information

Replaced by kohlmann-2008-lse.

Abstract

The LiveSync interaction metaphor synchronizes the 2D slice view with the volumetric view to improve the efficiency of diagnosis in the clinical routine. The generation of a meaningful 3D visualization is desirable because often there is not enough contextual information provided by the slice views only. While it is easy to navigate through the slices, the interaction effort to adjust the parameters for the volumetric view is rather high. Some of the major time-consuming tasks are the localization of the feature of interest, the setup of a good viewpoint, the removal of occluding structures via clipping geometries and the adjustment of the zoom factor. LiveSync extracts the needed information to set up all these parameters by a simple picking on a structure of interest in the slice view. In this paper we present substantial enhancements of the existing concept. First, an efficient parametrization for the derived parameters is presented which allows hierarchical refinement of the search space for good views. Second, the extraction of the feature of interest is performed in a way which is adapting to the volumetric extent of the feature. The properties of the extracted features are utilized to adjust a pre-defined transfer function in a feature-enhancing manner. Third, new interaction modes are presented which allow the integration of more knowledge about the user-intended visualization without increasing the interaction effort. Finally, a new clipping technique is integrated which guarantees an unoccluded view on the structure of interest while keeping important contextual information.

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BibTeX

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@techreport{TR-186-2-08-01,
  title =      "The LiveSync Interaction Metaphor for Smart User-Intended
               Visualization",
  author =     "Peter Kohlmann and Stefan Bruckner and Armin Kanitsar and
               Meister Eduard Gr{\"o}ller",
  year =       "2008",
  abstract =   "The LiveSync interaction metaphor synchronizes the 2D slice
               view with the volumetric view to improve the efficiency of
               diagnosis in the clinical routine. The generation of a
               meaningful 3D visualization is desirable because often there
               is not enough contextual information provided by the slice
               views only. While it is easy to navigate through the slices,
               the interaction effort to adjust the parameters for the
               volumetric view is rather high. Some of the major
               time-consuming tasks are the localization of the feature of
               interest, the setup of a good viewpoint, the removal of
               occluding structures via clipping geometries and the
               adjustment of the zoom factor. LiveSync extracts the needed
               information to set up all these parameters by a simple
               picking on a structure of interest in the slice view. In
               this paper we present substantial enhancements of the
               existing concept. First, an efficient parametrization for
               the derived parameters is presented which allows
               hierarchical refinement of the search space for good views.
               Second, the extraction of the feature of interest is
               performed in a way which is adapting to the volumetric
               extent of the feature. The properties of the extracted
               features are utilized to adjust a pre-defined transfer
               function in a feature-enhancing manner. Third, new
               interaction modes are presented which allow the integration
               of more knowledge about the user-intended visualization
               without increasing the interaction effort. Finally, a new
               clipping technique is integrated which guarantees an
               unoccluded view on the structure of interest while keeping
               important contextual information.",
  address =    "Favoritenstrasse 9-11/186, A-1040 Vienna, Austria",
  institution = "Institute of Computer Graphics and Algorithms, Vienna
               University of Technology",
  note =       "human contact: technical-report@cg.tuwien.ac.at",
  month =      jan,
  number =     "TR-186-2-08-01",
  keywords =   "Smart Interaction, Linked Views, Medical Visualization,
               Viewpoint Selection",
  URL =        "http://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-01/",
}