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Performance Evaluation of Grid-Enabled Registration Algorithms Using Bronze-Standards

  • Tristan Glatard
  • Xavier Pennec
  • Johan Montagnat
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4191)

Abstract

Evaluating registration algorithms is difficult due to the lack of gold standard in most clinical procedures. The bronze standard is a real-data based statistical method providing an alternative registration reference through a computationally intensive image database registration procedure. We propose in this paper an efficient implementation of this method through a grid-interfaced workflow enactor enabling the concurrent processing of hundreds of image registrations in a couple of hours only. The performances of two different grid infrastructures were compared. We computed the accuracy of 4 different rigid registration algorithms on longitudinal MRI images of brain tumors. Results showed an average subvoxel accuracy of 0.4 mm and 0.15 degrees in rotation.

Keywords

Registration Algorithm Grid Infrastructure Rigid Registration Crest Line Registration Problem 
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 2006

Authors and Affiliations

  • Tristan Glatard
    • 1
    • 2
  • Xavier Pennec
    • 1
  • Johan Montagnat
    • 2
  1. 1.INRIA Sophia – Projet AsclepiosSophia AntipolisFrance
  2. 2.CNRS – I3S unit, RAINBOW teamSophia AntipolisFrance

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