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AnatomyBrowser: A framework for integration of medical information

  • P. Golland
  • R. Kikinis
  • C. Umans
  • M. Halle
  • M. E. Shenton
  • J. A. Richolt
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1496)

Abstract

In this paper we present AnatomyBrowser, a framework for integration of images and textual information in medical applications. AnatomyBrowser allows the user to combine 3D surface models of anatomical structures, their cross-sectional slices, and the text available on the structures, while providing a rich set of cross-referencing and annotation capabilities. The 3D models of the structures are generated fully automatically from the segmented slices. The software is platform independent, yet is capable of utilizing available graphics resources. Possible applications include interactive anatomy atlases, image guided surgery and model based segmentation. The program is available on-line at http://www.ai.mit.edu/projects/anatomy.browser.

Keywords

Graphic Hardware Text Note Greyscale Image Visualization Capability Digital Atlas 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

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Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • P. Golland
    • 1
  • R. Kikinis
    • 2
  • C. Umans
    • 2
  • M. Halle
    • 2
  • M. E. Shenton
    • 2
  • J. A. Richolt
    • 2
  1. 1.Artificial Intelligence LaboratoryMassachusetts Institute of TechnologyCambridge
  2. 2.Surgical Planning LaboratoryBrigham and Women’s HospitalBoston

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