Fiche publication
Date publication
août 2025
Journal
AJNR. American journal of neuroradiology
Auteurs
Membres identifiés du Cancéropôle Est :
Pr TEIXEIRA GONDIM Pedro
Tous les auteurs :
Boubaker F, Lane JI, Puel U, Drouot G, Witte RJ, Ambarki K, Teixeira PAG, Blum A, Parietti-Winkler C, Vallee JN, Gillet R, Eliezer M
Lien Pubmed
Résumé
The labyrinth is a complex anatomical structure in the temporal bone. However, high-resolution imaging of its membranous portion is challenging due to its small size and the limitations of current MRI techniques. Deep Learning Reconstruction (DLR) represents a promising approach to advancing MRI image quality, enabling higher spatial resolution and reduced noise. This study aims to evaluate DLR-High-Resolution 3D-T2 MRI sequences for visualizing the labyrinthine structures, comparing them to conventional 3D-T2 sequences. The goal is to improve spatial resolution without prolonging acquisition times, allowing a more detailed view of the labyrinthine microanatomy.
Référence
AJNR Am J Neuroradiol. 2025 08 28;:
