Symmetric nonrigid image registration: application to average brain templates construction.
Fiche publication
Date publication
janvier 2008
Journal
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
Auteurs
Membres identifiés du Cancéropôle Est :
Pr HEITZ Fabrice, Dr NOBLET Vincent
Tous les auteurs :
Noblet V, Heinrich C, Heitz F, Armspach JP
Lien Pubmed
Résumé
Image registration aims at estimating a consistent mapping between two images. Common techniques consist in choosing arbitrarily one image as a reference image and the other one as a floating image, thus leading to the estimation of inconsistent mappings. We present a symmetric formulation of the registration problem that maps the two images in a common coordinate system halfway between them. This framework has been considered to devise an efficient strategy for mapping a large set of images in a common coordinate system. Some results are presented in the context of 3-D nonrigid brain MR image registration for the construction of average brain templates.
Mots clés
Algorithms, Artificial Intelligence, Brain, anatomy & histology, Humans, Image Enhancement, methods, Image Interpretation, Computer-Assisted, methods, Imaging, Three-Dimensional, methods, Magnetic Resonance Imaging, methods, Pattern Recognition, Automated, methods, Reproducibility of Results, Sensitivity and Specificity, Subtraction Technique
Référence
Med Image Comput Comput Assist Interv. 2008 ;11(Pt 2):897-904