Methodology for the design of digital brain atlases

  • B. Gibaud
  • S. Garlatti
  • C. Barillot
  • E. Faure
Image and Signal Processing
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1211)


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.


Brain Atlas Situate Knowledge Biomedical Knowledge Warping Model Knowledge Acquisition Process 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • B. Gibaud
    • 1
  • S. Garlatti
    • 2
  • C. Barillot
    • 1
  • E. Faure
    • 2
  1. 1.Laboratoire SIMFaculté de MédecineRennesFrance
  2. 2.Laboratoire IASCENS Télécommunications de BretagneBrestFrance

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