Fiche publication


Date publication

juillet 2023

Journal

Diagnostic and interventional imaging

Auteurs

Membres identifiés du Cancéropôle Est :
Pr GILLET Pierre


Tous les auteurs :
Boubaker F, Teixeira PAG, Hossu G, Douis N, Gillet P, Blum A, Gillet R

Résumé

The purpose of this study was to evaluate the ability to depict in vivo bone vascularization using ultra-high-resolution (UHR) computed tomography (CT) with deep learning reconstruction (DLR) and hybrid iterative reconstruction algorithm, compared to simulated conventional CT, using osteoid osteoma as a model.

Mots clés

Computed tomography, Cortical bone, Deep learning, Image reconstruction, Osteoid osteoma

Référence

Diagn Interv Imaging. 2023 07 21;: