• DocumentCode
    3392187
  • Title

    Optimal generation of transfer functions for direct volume rendering

  • Author

    Nicoletti, Guy M.

  • Author_Institution
    Univ. of Pittsburgh, Greensburg, PA, USA
  • fYear
    2003
  • fDate
    16-18 March 2003
  • Firstpage
    367
  • Lastpage
    371
  • Abstract
    Volume rendering implements the visualization of 3D structures without a prior segmentation process. Direct volume rendering is a key imaging technology for visualizing large 3D data sets from scientific or medical applications. Visualization is rendered by transfer functions which assign optical properties such as color, opacity and shading to original values of the data set being visualized. Constructing appropriate transfer functions is a tedious task, generally requiring substantial hand tuning for each new data set and often done by trial and error. This paper introduces a semi-automatic method of transfer function generation which makes volume rendering surfaces more intuitive and less labor intensive. Fundamentally, this method rests on an algorithm that computes the boundary characteristics in a volume and uses this information to guide the user toward opacity function settings which readily display the boundaries.
  • Keywords
    data visualisation; image colour analysis; opacity; optical transfer function; rendering (computer graphics); 3D data sets; 3D structure visualization; boundary characteristics; color; direct volume rendering; medical applications; opacity; optical properties; optimal generation; scientific applications; semiautomatic method; shading; transfer function generation; volume rendering surfaces; Biomedical equipment; Biomedical optical imaging; Data visualization; Histograms; Image segmentation; Medical services; Optical imaging; Rendering (computer graphics); Transfer functions; User interfaces;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Theory, 2003. Proceedings of the 35th Southeastern Symposium on
  • ISSN
    0094-2898
  • Print_ISBN
    0-7803-7697-8
  • Type

    conf

  • DOI
    10.1109/SSST.2003.1194593
  • Filename
    1194593