Volume Rendering of Segmented Tubular Objects

  • Elizabeth Bullitt
  • Stephen Aylward
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2208)


This paper describes a new method of combining ray casting with segmented tubular objects, such as blood vessels, for purposes of clinically useful display. The method first projects segmented tubes using a modified z-buffer that additionally records information about the objects projected. A subsequent step selectively volume renders only through the object volumes recorded by the z-buffer. In common with traditional “block” volume rendering the actual image data is shown, of importance when the boundary of a segmented object is uncertain. Unlike traditional “block” volume rendering, the approach permits user manipulation of objects, operates rapidly, and provides depth information even for maximum intensity projection. Although our methods were developed for display of the intracerebral vasculature, the approach is applicable to volume rendering of tubular objects throughout the body.


  1. 1.
    Aylward, S.R., Pizer, S.M., Bullitt, E., Eberly, D.: Intensity ridge and widths for 3D object segmentation and description IEEE WMMBIA IEEE 96TB100056 (1996) 131–138.Google Scholar
  2. 2.
    Aylward S.R., Bullitt E.: A comparison of methods for tubular object centerline extraction. (2001) Accepted IEEE-TMI.Google Scholar
  3. 3.
    Bullitt E., Aylward S., Liu A., Stone J., Mukherji S., Coffey C., Gerig G., Pizer S.M.: 3D graph description of the intracerebral vasculature from segmented MRA and tests of accuracy by comparison with x-ray angiograms. IPMI 99; Lecture Notes in Computer Science (1999) 1613:308–321.Google Scholar
  4. 4.
    Bullitt E., Aylward S., Bernard E., Gerig G.: Special Article. Computer-assisted visualization of arteriovenous malformations on the home pc (2001) Neurosurgery 48: 576–583.CrossRefGoogle Scholar
  5. 5.
    Bullitt E., Aylward S., Smith K., Mukherji S., Jiroutek M., Muller K.: Symbolic Description of Intracerebral Vessels Segmented from MRA and Evaluation by Comparison with X-Ray Angiograms (2001) in press Medical Image Analysis.Google Scholar
  6. 6.
    Bullitt E., Liu A., Aylward S., Coffey C., Stone J., Mukherji S., Muller K.,S, Pizer S.M.: Registration of 3D cerebral vessels with 2D digital angiograms: Clinical evaluation Academic Radiology (1999) 6:539–546.Google Scholar
  7. 7.
    Schroeder W., Martin K., Lorensen B.: The Visualization Toolkit. Prentice Hall, New Jersey (1998). Open source software is available at Scholar
  8. 8.
    Grevera G., Udupa J., Odhner D.:An order of magnitude faster isosurface rendering in software on a PC than using dedicated, general purpose rendering hardware. IEEE Transactions of Visualization and Computer Graphics (2000) 6:335–345.CrossRefGoogle Scholar
  9. 9.
    Zuiderveld K.: Visualization of multimodality medical volume data using object-oriented methods. Thesis. Universiteit Utrecht, Utrecht. ISBN 90-393-0687-7 (1995).Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Elizabeth Bullitt
    • 1
  • Stephen Aylward
    • 2
  1. 1.Departments of SurgeryUniversity of North CarolinaChapel HillUSA
  2. 2.Departments of Radiology, and Computer ScienceUniversity of North CarolinaChapel HillUSA

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