Impact of a silver filter with deep learning reconstruction on noncontrast abdominopelvic MDCT in terms of image quality, density values and radiation dose reduction.

Date publication

juillet 2026

Journal

Radiography (London, England : 1995)

Auteurs

Membres identifiés du Cancéropôle Est :
Pr ROY Catherine , Pr OHANA Mickaël , Dr MOLIERE Sébastien

Tous les auteurs :
Roy C, Kledy J, Mertz L, Jaillet H, le Duff Q, Labani A, Moliére S, Ohana M

Lien Pubmed

https://www.ncbi.nlm.nih.gov/pubmed/42485751

Résumé

To assess how the use of a silver beam filtration with deep learning reconstruction (DLR) impacts the unenhanced abdominopelvic CT in terms of soft tissues density, image quality and radiation dose.

Mots clés

Deep learning reconstruction, Non injected abdominopelvic CT, Radiation dose, X-rays tube filtration

Référence

Radiography (Lond). 2026 07 22;32(6):103489