Titre :

Super-resolution reconstruction of brain 3D magnetic resonance images using a coupled tensor multilinear approximation

Auteur(s) :

Prévost, Clémence [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Odille, F [Auteur]

Discipline(s) HAL :

Informatique [cs]/Traitement du signal et de l'image [eess.SP]

Résumé en anglais : [en]

In this paper, we address the multi-frame superresolution MRI problem. We formulate the reconstruction problem as a coupled tensor multilinear approximation. We prove that exact recovery of the high-resolution 3D isotropic ...
Lire la suite >In this paper, we address the multi-frame superresolution MRI problem. We formulate the reconstruction problem as a coupled tensor multilinear approximation. We prove that exact recovery of the high-resolution 3D isotropic image is achievable for a variety of multilinear ranks. We propose a simple algorithm based on Tikhonov regularization to perform the reconstruction. Our simulations on real datasets illustrates the good performance of the proposed approach, with a lower computation time than state-of-the-art methods.Lire moins >

Langue :

Anglais

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL