M. Eduard Groller

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Publications (3)4.43 Total impact

  • Source
    Article: LiveSync: Deformed Viewing Spheres for Knowledge-Based Navigation
    P. Kohlmann, S. Bruckner, M. Eduard Groller, A. Kanitsar
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    ABSTRACT: Although real-time interactive volume rendering is available even for very large data sets, this visualization method is used quite rarely in the clinical practice. We suspect this is because it is very complicated and time consuming to adjust the parameters to achieve meaningful results. The clinician has to take care of the appropriate viewpoint, zooming, transfer function setup, clipping planes and other parameters. Because of this, most often only 2D slices of the data set are examined. Our work introduces LiveSync, a new concept to synchronize 2D slice views and volumetric views of medical data sets. Through intuitive picking actions on the slice, the users define the anatomical structures they are interested in. The 3D volumetric view is updated automatically with the goal that the users are provided with expressive result images. To achieve this live synchronization we use a minimal set of derived information without the need for segmented data sets or data-specific pre-computations. The components we consider are the picked point, slice view zoom, patient orientation, viewpoint history, local object shape and visibility. We introduce deformed viewing spheres which encode the viewpoint quality for the components. A combination of these deformed viewing spheres is used to estimate a good viewpoint. Our system provides the physician with synchronized views which help to gain deeper insight into the medical data with minimal user interaction.
    IEEE Transactions on Visualization and Computer Graphics 12/2007; 13(6):1544-1551. · 2.21 Impact Factor
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    Article: Semantic Layers for Illustrative Volume Rendering
    P. Rautek, S. Bruckner, M. Eduard Groller
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    ABSTRACT: Direct volume rendering techniques map volumetric attributes (e.g., density, gradient magnitude, etc.) to visual styles. Commonly this mapping is specified by a transfer function. The specification of transfer functions is a complex task and requires expert knowledge about the underlying rendering technique. In the case of multiple volumetric attributes and multiple visual styles the specification of the multi-dimensional transfer function becomes more challenging and non-intuitive. We present a novel methodology for the specification of a mapping from several volumetric attributes to multiple illustrative visual styles. We introduce semantic layers that allow a domain expert to specify the mapping in the natural language of the domain. A semantic layer defines the mapping of volumetric attributes to one visual style. Volumetric attributes and visual styles are represented as fuzzy sets. The mapping is specified by rules that are evaluated with fuzzy logic arithmetics. The user specifies the fuzzy sets and the rules without special knowledge about the underlying rendering technique. Semantic layers allow for a linguistic specification of the mapping from attributes to visual styles replacing the traditional transfer function specification.
    IEEE Transactions on Visualization and Computer Graphics 12/2007; 13(6):1336-1343. · 2.21 Impact Factor
  • Article: Process Visualization with Levels of Detail
    Kresimir Matkovic, Helwig Hauser, Matkovic Hauser, Reinhard Sainitzer, M. Eduard Groller
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    ABSTRACT: In this paper we demonstrate how we applied information visualization techniques to process monitoring. Virtual instruments are enhanced using history encoding -- instruments are capable of displaying current value and the value from the near past. Multi-instruments are capable of displaying several data sources simultaneously. Levels of detail for virtual instruments are introduced where the screen area is inversely proportional to the information amount displayed. Furthermore the monitoring system is enhanced by using 3D anchoring -- attachment of instruments to positions on a 3D model --, collision avoidance -- a physically based spring model prevents instruments from overlapping --, and focus+context rendering -- giving the user a possibility to examine particular instruments in detail without loosing the context information. Two applications were developed, a prototype application and a commercial process monitoring tool.
    05/2002;
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