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Exploring the Visible Human using the VOXEL-MAN framework.

T Schiemann1, J Freudenberg, B Pflesser

  • 1Institute of Mathematics and Computer Science in Medicine (IMDM), University Hospital Hamburg-Eppendorf, Pav 70 Martinistrasse 5, 20246, Hamburg, Germany. Schiemann@uke.uni-hamburg.de

Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
|June 6, 2000
PubMed
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This study registers Visible Human data to a 3D brain atlas for anatomical lookup. It also presents interactive segmentation and a multimedia program for realistic 3D visualization on standard PCs.

Area of Science:

  • Medical Imaging
  • Anatomical Atlases
  • Computer Graphics

Background:

  • The Visible Human data sets offer a foundation for electronic atlases.
  • Creating realistic 3D anatomical models from 2D slices is complex.
  • Existing 3D atlases can be enhanced with new data.

Purpose of the Study:

  • To integrate Visible Human data into an existing 3D atlas for enhanced anatomical exploration.
  • To develop methods for creating realistic 3D visualizations from the Visible Human data.
  • To enable access to 3D anatomical data on standard personal computers.

Main Methods:

  • Registration of Visible Human data to the VOXEL-MAN/brain 3D atlas.
  • Development of an interactive classification method for anatomical segmentation.

Related Experiment Videos

  • Creation of a multimedia program utilizing Quicktime VR for 3D visualization.

    • Main Results:

    • Successful registration of Visible Human data enabling anatomical detail lookup using radiological images.
    • Generation of realistic perspective views through interactive segmentation.
    • A functional multimedia program for 3D visualization on standard PCs.

    Conclusions:

    • Integrating diverse datasets like Visible Human enhances existing 3D anatomical atlases.
    • Interactive segmentation methods facilitate the creation of detailed 3D anatomical models.
    • Multimedia solutions provide accessible 3D visualization of anatomical data for broader use.