On super-resolution for fetal brain MRI.

Détails

ID Serval
serval:BIB_BBC0BCB225F1
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
On super-resolution for fetal brain MRI.
Périodique
Medical image computing and computer-assisted intervention
Auteur(s)
Rousseau F., Kim K., Studholme C., Koob M., Dietemann J.L.
Statut éditorial
Publié
Date de publication
2010
Peer-reviewed
Oui
Volume
13
Numéro
Pt 2
Pages
355-362
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Résumé
Super-resolution techniques provide a route to studying fine scale anatomical detail using multiple lower resolution acquisitions. In particular, techniques that do not depend on regular sampling can be used in medical imaging situations where imaging time and resolution are limited by subject motion. We investigate in this work the use of a super-resolution technique for anisotropic fetal brain MR data reconstruction without modifying the data acquisition protocol. The approach, which consists of iterative motion correction and high resolution image estimation, is compared with a previously used scattered data interpolation-based reconstruction method. To optimize acquisition time, an evaluation of the influence of the number of input images and image noise is also performed. Evaluation on simulated MR images and real data show significant improvements in performance provided by the super-resolution approach.

Mots-clé
Algorithms, Brain/anatomy & histology, Brain/embryology, Humans, Image Enhancement/methods, Image Interpretation, Computer-Assisted/methods, Imaging, Three-Dimensional/methods, Magnetic Resonance Imaging/methods, Prenatal Diagnosis/methods, Reproducibility of Results, Sensitivity and Specificity
Pubmed
Création de la notice
28/08/2017 14:32
Dernière modification de la notice
20/08/2019 16:29
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