Efficient total variation algorithm for fetal MRI reconstruction

Détails

ID Serval
serval:BIB_211046481FEA
Type
Actes de conférence (partie): contribution originale à la littérature scientifique, publiée à l'occasion de conférences scientifiques, dans un ouvrage de compte-rendu (proceedings), ou dans l'édition spéciale d'un journal reconnu (conference proceedings).
Collection
Publications
Titre
Efficient total variation algorithm for fetal MRI reconstruction
Titre de la conférence
17th International Conference on Medical Image Computing and Computer Assisted Intervention
Auteur(s)
Tourbier Sébastien, Bresson Xavier, Hagmann Patric, Thiran Jean-Philippe, Meuli Reto, Bach Cuadra Meritxell
Adresse
Massachusetts Inst Technol, Boston, MA, Sep 14-18, 2014
ISBN
978-3-319-10470-6
ISSN-L
0302-9743
Statut éditorial
Publié
Date de publication
09/2014
Peer-reviewed
Oui
Volume
8674
Série
Lecture Notes in Computer Science
Pages
252-259
Langue
anglais
Résumé
Fetal MRI reconstruction aims at finding a high-resolution image given a small set of low-resolution images. It is usually modeled as an inverse problem where the regularization term plays a central role in the reconstruction quality. Literature has considered several regularization terms s.a. Dirichlet/Laplacian energy [1], Total Variation (TV)based energies [2,3] and more recently non-local means [4]. Although TV energies are quite attractive because of their ability in edge preservation, standard explicit steepest gradient techniques have been applied to optimize fetal-based TV energies. The main contribution of this work lies in the introduction of a well-posed TV algorithm from the point of view of convex optimization. Specifically, our proposed TV optimization algorithm for fetal reconstruction is optimal w.r.t. the asymptotic and iterative convergence speeds O(1/n(2)) and O(1/root epsilon), while existing techniques are in O(1/n) and O(1/epsilon). We apply our algorithm to (1) clinical newborn data, considered as ground truth, and (2) clinical fetal acquisitions. Our algorithm compares favorably with the literature in terms of speed and accuracy.
Mots-clé
fetal imaging, magnetic resonance, image reconstruction, super-resolution, total-variation, optimisation
Web of science
Création de la notice
01/07/2014 16:22
Dernière modification de la notice
20/08/2019 12:57
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