Skip to main content

Brain data base (BDB)

  • Conference paper
  • First Online:
Book cover Database and Expert Systems Applications (DEXA 1993)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 720))

Included in the following conference series:

Abstract

The Brain Data Base (BDB) is an innovative database that keeps (in a structural way) those anatomical and functional features of the human brain, suitable for applying the principles of biomagnetism in order to localize epileptic foci. It handles complex and non-uniform 3-D objects and admits efficient query evaluation through state-of the art computational geometry techniques. The proposed logical model of the BDB may serve as a framework for other specialized databases which deal with non-standard and involved topological information.

The experimental results that are presented in this paper have been implemented in order to derive a first prototype report, within the framework of the CEC-Program AIM, Project A2020 Magnobrain. This study conforms to the spirit of the pilot projects to be done in the U.S. Brain Mapping Initiative.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Talairach J., Tournoux P., “Co-Planar stereotaxic atlas of the brain”, Georg Thieme Verlag Stuttgart, New York, Thieme medical publishers, 1988.

    Google Scholar 

  2. Anogianakis G., Krotopoulou K., Spirakis P., Terpou D., Tsakalidis A., “The logical design of the Brain Data Base”, Technical Report MB1.2, AIM-Project, Magnobrain no A2020, September 1992.

    Google Scholar 

  3. Korth E., and Silberschatz A., “Database system concepts”, McGrawhill, University of Atlas at Austin, 1986.

    Google Scholar 

  4. Rubenstein W. B.,“A Database Design for Musical Information”, Computer Science Division, University of California, Berkley, ACM SIGMOD 1987.

    Google Scholar 

  5. Mehlhorn K. and Tsakalidis A. K., “Chapter 6: Data Structures”, Handbook of Theoretical Computer Science, Editor J.V.Leeuwen, Elsevier Science Publishers, co-published by MIT — Press, pp. 301–341, 1990.

    Google Scholar 

  6. Overmars M.H. “Efficient Data Structures for Range Searching on a Grid”, Journal of Algorithms 9, pp. 254–275, 1988.

    Article  Google Scholar 

  7. Bistiolas V., Sofotassios D., and Tsakalidis A., “Computing Rectangle Enclosures” Computational Geometry: Theory and Applications, 2, 1993.

    Google Scholar 

  8. Willard D., “New Data Structures for orthogonal range queries”, SIAM Journal on Computing, Vol. 14, pp. 232–253, 1985.

    Article  Google Scholar 

  9. Franzblau D.S. and Kleitman D. J., “An Algorithm for Constructing Regions with Rectangles, Independence and minimum generating Sets for Collections of Intervals” in Proc. 16th ACM Symp. Theory Comput., pp.167–174, (1984).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Vladimír Mařík Jiří Lažanský Roland R. Wagner

Rights and permissions

Reprints and permissions

Copyright information

© 1993 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Anogianakis, G., Krotopoulou, A., Spirakis, P., Terpou, D., Tsakalidis, A. (1993). Brain data base (BDB). In: Mařík, V., Lažanský, J., Wagner, R.R. (eds) Database and Expert Systems Applications. DEXA 1993. Lecture Notes in Computer Science, vol 720. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57234-1_32

Download citation

  • DOI: https://doi.org/10.1007/3-540-57234-1_32

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-57234-3

  • Online ISBN: 978-3-540-47982-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics