In vivo depiction of cortical bone vascularization with ultra-high resolution-CT and deep learning algorithm reconstruction using osteoid osteoma as a model.
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
Lien Pubmed
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;: