Abstract
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.
Chapter PDF
Similar content being viewed by others
References
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.
Aylward S.R., Bullitt E.: A comparison of methods for tubular object centerline extraction. (2001) Accepted IEEE-TMI.
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.
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.
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.
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.
Schroeder W., Martin K., Lorensen B.: The Visualization Toolkit. Prentice Hall, New Jersey (1998). Open source software is available at http://www.kitware.com/vtk.html.
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.
Zuiderveld K.: Visualization of multimodality medical volume data using object-oriented methods. Thesis. Universiteit Utrecht, Utrecht. ISBN 90-393-0687-7 (1995).
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bullitt, E., Aylward, S. (2001). Volume Rendering of Segmented Tubular Objects. In: Niessen, W.J., Viergever, M.A. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2001. MICCAI 2001. Lecture Notes in Computer Science, vol 2208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45468-3_20
Download citation
DOI: https://doi.org/10.1007/3-540-45468-3_20
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-42697-4
Online ISBN: 978-3-540-45468-7
eBook Packages: Springer Book Archive