• DocumentCode
    1822679
  • Title

    Integrating volume visualization techniques into medical applications

  • Author

    Bruckner, Stefan ; Kohlmann, Peter ; Kanitsar, Armin ; Groller, M. Eduard

  • Author_Institution
    Inst. of Comput. Graphics & Algorithms, Vienna Univ. of Technol., Vienna
  • fYear
    2008
  • fDate
    14-17 May 2008
  • Firstpage
    820
  • Lastpage
    823
  • Abstract
    One of the main obstacles in integrating 3D volume visualization in the clinical workflow is the time-consuming process of adjusting parameters such as viewpoint, transfer functions, and clipping planes required to generate a diagnostically relevant image. Current applications therefore make scarce use of volume rendering and instead primarily employ 2D views generated through standard techniques such as multi-planar reconstruction (MPR). However, in many cases 3D renditions can supply additional useful information. This paper discusses ongoing work which aims to improve the integration of 3D visualization into the diagnostic workflow by automatically generating meaningful renditions based on minimal user interaction. A method for automatically generating 3D views for structures in 2D slices based on a single picking interaction is presented.
  • Keywords
    biomedical imaging; data visualisation; image reconstruction; medical diagnostic computing; rendering (computer graphics); 3D volume visualization techniques; automatic 3D structure generation; clinical workflow; medical applications; medical diagnostic workflow; minimal user interaction; multiplanar reconstruction techniques; single picking interaction; volume rendering; Biomedical equipment; Computer graphics; Inspection; Medical services; Mice; Presses; Rendering (computer graphics); Shape; Transfer functions; Visualization; Volume visualization; viewpoint selection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium on
  • Conference_Location
    Paris
  • Print_ISBN
    978-1-4244-2002-5
  • Electronic_ISBN
    978-1-4244-2003-2
  • Type

    conf

  • DOI
    10.1109/ISBI.2008.4541122
  • Filename
    4541122