Advertisement

Visualization and labeling of the Visible Human dataset: Challenges & resolves

  • R. Mullick
  • H. T. Nguyen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1131)

Abstract

The Visible Human is a vast resource, which few methods can fully explore and analyze. We aim to completely label and volume display it; here we discuss the main obstacles, and our means for overcoming them. Our segmentation into over 350 anatomical regions spans the various body systems. Volume rendering by a memory-independent, partitioned, color and translucency scheme gives realistic human images, with many possibilities for medical education and “edutainment”.

Keywords

Human Anatomy Volume Rendering Visualization Visible Human Segmentation 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Spitzer, V. et al.: The Visible Human Male: A Technical Report. Journal of American Medical Informatics Association (1995)Google Scholar
  2. 2.
    http://www.nlm.nih.gov/extramural_research.dir/visible_human.htmlGoogle Scholar
  3. 3.
    Pavlidis, T.: Algorithms for Graphics and Image Processing. Computer Science Press, Rockville, MD, (1982).Google Scholar
  4. 4.
    Levoy, M.: Display of surfaces from Volume Data. IEEE Computer Graphics and Applications. 8.5 (1988) 29–37Google Scholar
  5. 5.
    Nguyen, H. T., Srinivasan R.: PaVe4-16: A Distributed Volume Visualization Technique. TR94-135-0 Technical Report, Inst. of Sys. Science, National Univ. of Singapore, Singapore (1993)Google Scholar
  6. 6.
    Jain, A. K.: Fundamentals of Digital Image Processing. Prentice Hall, Englewood Cliffs, NJ (1989)Google Scholar
  7. 7.
    Monga, O., Deriche, R., Malandain, G., Cocquerez: Recursive filtering and edge closing: 2 primary tools for 3D edge detection. Image and Vision Comp., 9.4 (1991)Google Scholar
  8. 8.
    Nguyen, H. T., Mullick R., Srinivasan, R.: Partitioned Volume Rendering (ParVo): An efficient approach to visualizing large datasets. Manuscript in preparation.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1996

Authors and Affiliations

  • R. Mullick
    • 1
  • H. T. Nguyen
    • 1
  1. 1.Center for Information Enhanced Medicine (CIeMed) Institute of Systems ScienceNat. Univ. of SingaporeSingapore

Personalised recommendations