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AnatomyBrowser: A framework for integration of medical information

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  • First Online: 01 January 2006
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Medical Image Computing and Computer-Assisted Intervention — MICCAI’98 (MICCAI 1998)
AnatomyBrowser: A framework for integration of medical information
  • P. Golland1,
  • R. Kikinis2,
  • C. Umans2,
  • M. Halle2,
  • M. E. Shenton2 &
  • …
  • J. A. Richolt2 

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1496))

Included in the following conference series:

  • International Conference on Medical Image Computing and Computer-Assisted Intervention
  • 6384 Accesses

  • 9 Citations

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.

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References

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Author information

Authors and Affiliations

  1. Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 02139, Cambridge, MA

    P. Golland

  2. Surgical Planning Laboratory, Brigham and Women’s Hospital, 02115, Boston, MA

    R. Kikinis, C. Umans, M. Halle, M. E. Shenton & J. A. Richolt

Authors
  1. P. Golland
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  2. R. Kikinis
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  3. C. Umans
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  4. M. Halle
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  5. M. E. Shenton
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  6. J. A. Richolt
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Editor information

William M. Wells Alan Colchester Scott Delp

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© 1998 Springer-Verlag Berlin Heidelberg

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Cite this paper

Golland, P., Kikinis, R., Umans, C., Halle, M., Shenton, M.E., Richolt, J.A. (1998). AnatomyBrowser: A framework for integration of medical information. In: Wells, W.M., Colchester, A., Delp, S. (eds) Medical Image Computing and Computer-Assisted Intervention — MICCAI’98. MICCAI 1998. Lecture Notes in Computer Science, vol 1496. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0056259

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  • DOI: https://doi.org/10.1007/BFb0056259

  • Published: 01 June 2006

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65136-9

  • Online ISBN: 978-3-540-49563-5

  • eBook Packages: Springer Book Archive

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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.

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