Segmentation of MR images via discriminative dictionary learning and sparse coding: Application to hippocampus labeling.

Abstract : We propose a novel method for the automatic segmentation of brain MRI images by using discriminative dictionary learning and sparse coding techniques. In the proposed method, dictionaries and classifiers are learned simultaneously from a set of brain atlases, which can then be used for the reconstruction and segmentation of an unseen target image. The proposed segmentation strategy is based on image reconstruction, which is in contrast to most existing atlas-based labeling approaches that rely on comparing image similarities between atlases and target images. In addition, we propose a Fixed Discriminative Dictionary Learning for Segmentation (F-DDLS) strategy, which can learn dictionaries offline and perform segmentations online, enabling a significant speed-up in the segmentation stage. The proposed method has been evaluated for the hippocampus segmentation of 80 healthy ICBM subjects and 202 ADNI images. The robustness of the proposed method, especially of our F-DDLS strategy, was validated by training and testing on different subject groups in the ADNI database. The influence of different parameters was studied and the performance of the proposed method was also compared with that of the nonlocal patch-based approach. The proposed method achieved a median Dice coefficient of 0.879 on 202 ADNI images and 0.890 on 80 ICBM subjects, which is competitive compared with state-of-the-art methods.
Liste complète des métadonnées


https://hal.archives-ouvertes.fr/hal-00806384
Contributeur : Pierrick Coupé <>
Soumis le : samedi 30 mars 2013 - 13:39:57
Dernière modification le : mardi 2 avril 2013 - 14:22:16
Document(s) archivé(s) le : dimanche 2 avril 2017 - 22:59:58

Fichier

Tong_Neuroimage2013.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

Citation

Tong Tong, Robin Wolz, Pierrick Coupé, Joseph V Hajnal, Daniel Rueckert. Segmentation of MR images via discriminative dictionary learning and sparse coding: Application to hippocampus labeling.. NeuroImage, Elsevier, 2013, epub ahead of print. <10.1016/j.neuroimage.2013.02.069>. <hal-00806384>

Partager

Métriques

Consultations de
la notice

221

Téléchargements du document

701