Robust fusion of Jacobian maps for Deformation-Based Morphometry

Abstract : In population studies with Magnetic Resonance Imaging (MRI), Deformation-Based Morphometry (DBM) [Ashburner, 1998] has received more and more attention as a tool to investigate and identify anatomical differences between groups in cross-sectional studies or anatomical changes over time in longitudinal studies. In DBM methods, statistical analysis of the parameters required to normalize all subjects into a common space enables the localization of even subtle brain shape changes. However, DBM is highly dependant on the non-linear registration accuracy used for normalization. Registration errors due to anatomical singularities such as non-homologous gyri, the presence of lesions or image artifacts may result in outliers in the analysis. While smoothing may reduce the resulting adverse effects of these errors, it may also lead to over-smoothing of the results and reduce localization power. Therefore, we propose a method to improve the robustness of the DBM method by using a robust patch-based aggregation of Jacobian maps in order to preserve fine local brain changes. The method is evaluated using MRI data from 20 patients with multiple sclerosis.
Type de document :
Communication dans un congrès
Organization for Human Brain Mapping 2011 Annual Meeting, Jun 2011, Canada
Liste complète des métadonnées

Littérature citée [7 références]  Voir  Masquer  Télécharger

https://hal.archives-ouvertes.fr/hal-00645486
Contributeur : Pierrick Coupé <>
Soumis le : dimanche 1 avril 2012 - 16:49:11
Dernière modification le : lundi 2 avril 2012 - 10:31:53
Document(s) archivé(s) le : lundi 2 juillet 2012 - 02:33:26

Fichier

Guizard_OHBM2012.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-00645486, version 1

Citation

Nicolas Guizard, Pierrick Coupé, Vladimir Fonov, Douglas Arnold, Louis Collins. Robust fusion of Jacobian maps for Deformation-Based Morphometry. Organization for Human Brain Mapping 2011 Annual Meeting, Jun 2011, Canada. 〈hal-00645486〉

Partager

Métriques

Consultations de la notice

112

Téléchargements de fichiers

70