Multimodal Brain Warping Using the Demons Algorithm and Adaptative Intensity Corrections

Abstract : This paper presents an original method for three-dimensional elastic registration of multimodal images. We propose to make use of a scheme that iterates between correcting for intensity differences between images and performing standard monomodal registration. The core of our contribution resides in providing a method that finds the transformation that maps the intensities of one image to those of another. It makes the assumption that there are at most two functional dependencies between the intensities of structures present in the images to register, and relies on robust estimation techniques to evaluate these functions. We provide results showing successful registration between several imaging modalities involving segmentations, T1 magnetic resonance (MR), T2 MR, proton density (PD) MR and computed tomography (CT). We also argue that our intensity modeling may be more appropriate than mutual information (MI) in the context of evaluating high-dimensional deformations, as it puts more constraints on the parameters to be estimated and, thus, permits a better search of the parameter space.
Liste complète des métadonnées

Littérature citée [21 références]  Voir  Masquer  Télécharger
Contributeur : Project-Team Asclepios <>
Soumis le : mercredi 17 août 2011 - 23:16:13
Dernière modification le : samedi 27 janvier 2018 - 01:31:04
Document(s) archivé(s) le : vendredi 25 novembre 2011 - 11:26:25


Fichiers produits par l'(les) auteur(s)


  • HAL Id : inria-00615028, version 1



Alexandre Guimond, Alexis Roche, Nicholas Ayache, Jean Meunier. Multimodal Brain Warping Using the Demons Algorithm and Adaptative Intensity Corrections. IEEE Transaction on Medical Imaging, undefined or unknown publisher, 2001, 20 (1), pp.58--69. 〈inria-00615028〉



Consultations de la notice


Téléchargements de fichiers