Ultra-high-resolution CT of the temporal bone: Comparison between deep learning reconstruction and hybrid and model-based iterative reconstruction.

Date publication

juin 2024

Journal

Diagnostic and interventional imaging

Auteurs

Membres identifiés du Cancéropôle Est :
Pr TEIXEIRA GONDIM Pedro

Tous les auteurs :
Beysang A, Villani N, Boubaker F, Puel U, Eliezer M, Hossu G, Haioun K, Blum A, Teixeira PAG, Parietti-Winkler C, Gillet R

Lien Pubmed

https://www.ncbi.nlm.nih.gov/pubmed/38368178

Résumé

The purpose of this study was to evaluate the ability of ultra-high-resolution computed tomography (UHR-CT) to assess stapes and chorda tympani nerve anatomy using a deep learning (DLR), a model-based, and a hybrid iterative reconstruction algorithm compared to simulated conventional CT.

Mots clés

Computed tomography, Deep learning, Image enhancement, Image reconstruction, Temporal bone

Référence

Diagn Interv Imaging. 2024 06;105(6):233-242