Optimizing 3D FLAIR imaging of endolymphatic hydrops: Benefits and limitations of deep learning reconstruction.

Date publication

septembre 2026

Journal

Diagnostic and interventional imaging

Auteurs

Membres identifiés du Cancéropôle Est :
Pr TEIXEIRA GONDIM Pedro

Tous les auteurs :
Boubaker F, Stemart J, Hossu G, Parietti-Winkler C, Nickel D, Teixeira PAG, Blum A, Eliezer M, Gillet R

Lien Pubmed

https://www.ncbi.nlm.nih.gov/pubmed/42786109

Résumé

The purpose of this study was to evaluate the influence of deep learning reconstruction (DLR) on image quality and diagnostic performance of three-dimensional (3D) fluid-attenuated inversion recovery (FLAIR) magnetic resonance imaging (MRI) of the inner ear.

Mots clés

Deep learning, Endolymphatic hydrops, Image quality, Inner ear, Labyrinth, Magnetic resonance imaging

Référence

Diagn Interv Imaging. 2026 09 24;: