Deep learning reconstruction versus iterative reconstruction for cardiac CT angiography in a stroke imaging protocol: reduced radiation dose and improved image quality.

Date publication

janvier 2021

Journal

Quantitative imaging in medicine and surgery

Auteurs

Membres identifiés du Cancéropôle Est :
Pr LOFFROY Romaric

Tous les auteurs :
Bernard A, Comby PO, Lemogne B, Haioun K, Ricolfi F, Chevallier O, Loffroy R

Lien Pubmed

https://www.ncbi.nlm.nih.gov/pubmed/33392038

Résumé

To assess the radiation dose and image quality of cardiac computed tomography angiography (CCTA) in an acute stroke imaging protocol using a deep learning reconstruction (DLR) method compared to a hybrid iterative reconstruction algorithm.

Mots clés

Computed tomography angiography (CTA), artificial intelligence, cardiac imaging, deep learning, image reconstruction

Référence

Quant Imaging Med Surg. 2021 Jan;11(1):392-401