Local atlas selection for discrete multi-atlas segmentation

Abstract : Multi-atlas segmentation is commonly performed in two separate steps: i) multiple pairwise registrations, and ii) fusion of the deformed segmentation masks towards labeling objects of interest. In this paper we propose an approach for integrated volume segmentation through multi-atlas registration. To tackle this problem, we opt for a graphical model where registration and segmentation nodes are coupled. The aim is to recover simultaneously all atlas deformations along with selection masks quantifying the participation of each atlas per segmentation voxel. The above is modeled using a pairwise graphical model where deformation and segmenta-tion variables are modeled explicitly. A sequential optimization relaxation is proposed for efficient inference. Promising performance is reported on the IBSR dataset when comparing to majority voting and local appearance-based weighted voting.
Type de document :
Communication dans un congrès
International Symposium on Biomedical Imaging, Apr 2015, New York, United States. 2015
Liste complète des métadonnées

Littérature citée [8 références]  Voir  Masquer  Télécharger

https://hal.archives-ouvertes.fr/hal-01145510
Contributeur : Stavros Alchatzidis <>
Soumis le : lundi 27 avril 2015 - 12:35:06
Dernière modification le : jeudi 7 février 2019 - 17:29:18
Document(s) archivé(s) le : mercredi 19 avril 2017 - 04:58:13

Fichier

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

Identifiants

  • HAL Id : hal-01145510, version 1

Citation

Stavros Alchatzidis, Aristeidis Sotiras, Nikos Paragios. Local atlas selection for discrete multi-atlas segmentation. International Symposium on Biomedical Imaging, Apr 2015, New York, United States. 2015. 〈hal-01145510〉

Partager

Métriques

Consultations de la notice

385

Téléchargements de fichiers

283