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Numeric and Symbolic Knowledge Representation of Cortex Anatomy Using Web Technologies

  • Olivier Dameron
  • Bernard Gibaud
  • Xavier Morandi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2101)

Abstract

We propose an ontology of the brain cortex anatomy representing both numeric and symbolic knowledge. Implementation with web technologies facilitates the ontology’s dissemination and reuse in different application contexts. This model references the main terminological sources and can be integrated into larger scale models. It was instantiated as an XML file encompassing anatomical features of the frontal, temporal and parietal lobes. A standalone Java application and an HTML based one have been developed in order to illustrate the knowledge base flexibility. They are both fully interactive with 3D VRML scenes representing the shapes of brain sulci.

Keywords

Brain atlas knowledge representation ontology XML 

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References

  1. 1.
    Ono M, Kubik S, Abernathey C. In: Atlas of the Cerebral Sulci. Georg Thieme Verlag ed. Thieme Medical Publishers, Inc. 5New-York. 1990.Google Scholar
  2. 2.
    Duvernoy HM. In: The Human Brain: Surface, Three-Dimensional Sectional Anatomy and MRI. Springer-Verlag, Wien New-York. 1991.Google Scholar
  3. 3.
    Talairach J, Tournoux P. In: Co-Planar Stereotactic Atlas of the Human Brain. Georg Thieme Verlag ed. Thieme Medical Publishers, Inc. New-York. 1988.Google Scholar
  4. 4.
    Nowinski WL, Fang A, Nguyen BT, Raphel JK, L Jagannathan, R Raghavan, RN Brian, GA Miller. Multiple Brain Atlas Database and Atlas-Based Neuroimaging System. Computer Aided Surgery. 1997 2:42–66.CrossRefGoogle Scholar
  5. 5.
    Pommert A, Schubert R, Riemer M, Schiemann T, Tiede U, Höhne KH. Symbolic Modeling of Human Anatomy for Visualization and Simulation. In: Visualization in Biomedical Computing RA Robb ed., Proc. SPIE 2359, Rochester, MN. 1994. 412–423.Google Scholar
  6. 6.
    Kikinis R, Shenton ME, Iosifescu DV, McCarley RW, Saiviroonporn P, Hokama HH, Robatino A, Metclaf D, Wible CG, Portas CM, Donnino RM, Jolesz FA. A Digital Brain Atlas for Surgical Planning, Model-Driven Segmentation, and Teaching. IEEE Transactions on Visualization and Computer Graphics. Sept 1996 Vol2 Num3. 232–241.CrossRefGoogle Scholar
  7. 7.
    National Library of Medicine.Overview of the UMLS Project. In: CDROM Documentation. 2–16.Google Scholar
  8. 8.
    Bowden DM, Martin RF. NeuroNames Brain Hierarchy. Neuroimage. 1995, 2. 63–83.CrossRefGoogle Scholar
  9. 9.
    RPRC Neurosciences Division, University of Washington, Seattle (WA). NeuroNames Template Atlas Homepage. http://rprcsgi.rprc.washington.edu/neuronames/
  10. 10.
    Structural Information Group, University of Washington, Seattle (WA). The Digital Anatomist Project. http://sig.biostr.washington.edu/projects/da/
  11. 11.
    Rosse C, Mejino JL, Modayur BR, Jakobovitz R, Hinshaw KP, Brinkley JF. Motivation and Organizational Principles for Anatomical Knowledge Representation. JAMIA. Jan–Feb 1998 volume 5 number 1. 17–40.Google Scholar
  12. 12.
    Rector A, Gangemi A, Galeazzi E, Glowinski AJ, Rossi-Mori A. The GALEN Model Schemata for Anatomy: Towards a re-usable Application-Independant model of Medical Concepts. Proceedings of Medical Informatics in Europe MIE94. 229–233.Google Scholar
  13. 13.
    Rector A, Zanstra PE, Solomon WD, Rogers JE, Baud R, Ceusters W, Claassen W, Kirby J, Rodrigues JM, Rossi-Mori A, van der Haring EJ, Wagner J. Reconciling Users’ Needs and Formal Requirements: Issues in Developping a Reusable Ontology for Medicine. IEEE Transactions on Information Technology in Biomedicine. Dec. 1998. Vol 2 Num 4. 229–242.CrossRefGoogle Scholar
  14. 14.
    Gibaud B, Garlatti S, Barillot C, Faure E. Computerized brain atlases as decision support systems: a methodological approach. Artificial Intelligence in Medicine. 1998, 14. 83–100.CrossRefGoogle Scholar
  15. 15.
    Szikla G, Bouvier G, Hori T, Petrov V. In: Angiography of the Human Brain Cortex. Spinger-Verlag ed. Berlin Heidelberg New-York. 1977.Google Scholar
  16. 16.
    Bosworth A, Layman A, Rys M. Serialising Graphs of Data in XML. The GCA XML Europe 99 Conference Proceedings Granada, Spain. May 1999. (http://www.biztalk.org/Resources/canonical.asp).
  17. 17.
    Le Goualher G, Barillot C, Bizais Y. Modeling cortical sulci with active ribbons. Int. J. of Pattern Recognition and Artificial Intelligence. 1997. Vol.11, num8. 1295–1315.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Olivier Dameron
    • 1
  • Bernard Gibaud
    • 1
  • Xavier Morandi
    • 1
    • 2
  1. 1.UPRES-EA “Intégration de données multimédia en anatomie et physiologie cérébrale pour l’aide èa la décision et l'enseignement”Rennes cedexFrance
  2. 2.Laboratoire d’anatomieFaculté de MédecineRennes cedexFrance

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