Performance evaluation of grid-enabled registration algorithms using bronze-standards

Tristan Glatard (1, 2) , Xavier Pennec (1) , Johan Montagnat (2)

1 ASCLEPIOS - Analysis and Simulation of Biomedical Images
2 Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe RAINBOW

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.

Domaines: Calcul parallèle, distribué et partagé [cs.DC]

Tristan Glatard, Xavier Pennec, Johan Montagnat. Performance evaluation of grid-enabled registration algorithms using bronze-standards. Medical Image Computing and Computer-Assisted Intervention (MICCAI 2006), Oct 2006, Copenhagen, Denmark. pp.152-160, ⟨10.1007/11866763_19⟩. ⟨hal-00683176⟩