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IRMA: An Image Registration Meta-algorithm

Evaluating Alternative Algorithms with Multiple Metrics
  • Kelvin T. Leung
  • D. Stott Parker
  • Alexandre Cunha
  • Cornelius Hojatkashani
  • Ivo Dinov
  • Arthur W. Toga
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5069)

Abstract

IRMA is a meta-algorithm for image registration (image alignment), evaluating results under multiple metrics using the LONI Pipeline workflow infrastructure, on the LONI/CCB grid computing facility. IRMA manages these results in a model base implemented with PostgreSQL. It permits scientists to catalog the results such as provenance information, and permits subsequent mining — exploring the space of alternatives in an organized fashion and building understanding about individual algorithms, and learn about strengths and weaknesses of algorithms over time.

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References

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    Dinov, I.D., Parker, D.S., Payan, A., Tam, J.-W., Cheung, C., Rajendiran, J., Hojatkashani, C., MacKenzie-Graham, A., Horn, J.V., Leung, K.T., Konstantinidis, F., Magsipoc, R., Woods, R.P., Toga, A.W.: Intelligent Graphical Workflow Pipeline Infrastructure for Automated Analys is of Neuroimaging Data, http://pipeline.loni.ucla.edu

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Kelvin T. Leung
    • 1
    • 2
  • D. Stott Parker
    • 1
    • 2
  • Alexandre Cunha
    • 2
    • 3
  • Cornelius Hojatkashani
    • 4
  • Ivo Dinov
    • 2
    • 4
  • Arthur W. Toga
    • 2
    • 4
  1. 1.UCLA Computer Science Dept. Los Angeles
  2. 2.UCLA Center for Computational Biology (CCB)Los Angeles 
  3. 3.Caltech Center for Advanced Computing Research (CACR)Pasadena 
  4. 4.UCLA Laboratory of Neuro-Imaging (LONI)Los Angeles 

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