New methods for MRI denoising based on sparseness and self-similarity.

José Manjón 1 Pierrick Coupé 2, * Antonio Buades 3, 4 D. Louis Collins 2 Montserrat Robles 1
* Auteur correspondant
1 ITACA
2 MNI - McConnell Brain Imaging Centre
3 MAP5 - UMR 8145 - Mathématiques Appliquées à Paris 5
4 Dpt Matemàtiques i Informàtica
Abstract : This paper proposes two new methods for the three-dimensional denoising of magnetic resonance images that exploit the sparseness and self-similarity properties of the images. The proposed methods are based on a three-dimensional moving-window discrete cosine transform hard thresholding and a three-dimensional rotationally invariant version of the well-known nonlocal means filter. The proposed approaches were compared with related state-of-the-art methods and produced very competitive results. Both methods run in less than a minute, making them usable in most clinical and research settings.
Keywords : self-similarity filtering DCT sparseness denoising MRI nonlocal means
Type de document :
Article dans une revue
Medical Image Analysis, Elsevier, 2012, 16 (1), pp.18-27. 〈10.1016/j.media.2011.04.003〉
Liste complète des métadonnées
https://www.hal.inserm.fr/inserm-00601866
Contributeur : Pierrick Coupé <>
Soumis le : lundi 20 juin 2011 - 23:46:34
Dernière modification le : lundi 7 janvier 2019 - 13:40:11
Document(s) archivé(s) le : mercredi 21 septembre 2011 - 02:26:56

Fichier

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

Identifiants

Collections

MAP5 | UNIV-PARIS5 | USPC

Citation

José Manjón, Pierrick Coupé, Antonio Buades, D. Louis Collins, Montserrat Robles. New methods for MRI denoising based on sparseness and self-similarity.. Medical Image Analysis, Elsevier, 2012, 16 (1), pp.18-27. 〈10.1016/j.media.2011.04.003〉. 〈inserm-00601866〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

1642

Téléchargements de fichiers

2563

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD