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Methodology for the design of digital brain atlases

  • Image and Signal Processing
  • Conference paper
  • First Online:
Artificial Intelligence in Medicine (AIME 1997)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1211))

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Abstract

This paper deals with the development of computerized brain atlases addressing both research and clinical needs. The authors analyze in detail the potentialities of these systems and discuss the capabilities and limitations of the digital atlases currently being developed around the world. The authors propose to reconsider the concept of a brain atlas, regarding both its content, and the way it has to be used and managed in order to set up a more effective cooperation between the user and the system. Particular emphasis is put on the evolutivity and reuse issues, which are critical in this rapidly evolving field. These orientations result from both the authors' experience and the analysis of current trends in the field of neuroimaging. The general methodology is illustrated with examples related to computer aided surgical planning.

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Author information

Authors and Affiliations

  1. Laboratoire SIM, Faculté de Médecine, Rennes, France

    B. Gibaud & C. Barillot

  2. Laboratoire IASC, ENS Télécommunications de Bretagne, Brest, France

    S. Garlatti & E. Faure

Authors
  1. B. Gibaud
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  2. S. Garlatti
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  3. C. Barillot
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  4. E. Faure
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Editor information

Elpida Keravnou Catherine Garbay Robert Baud Jeremy Wyatt

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© 1997 Springer-Verlag Berlin Heidelberg

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Gibaud, B., Garlatti, S., Barillot, C., Faure, E. (1997). Methodology for the design of digital brain atlases. In: Keravnou, E., Garbay, C., Baud, R., Wyatt, J. (eds) Artificial Intelligence in Medicine. AIME 1997. Lecture Notes in Computer Science, vol 1211. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0029477

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  • DOI: https://doi.org/10.1007/BFb0029477

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-62709-8

  • Online ISBN: 978-3-540-68448-0

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