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

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. Retrospective analysis of 296 consecutive patients admitted...

Celý popis

Podrobná bibliografia

Vydané v:	Quantitative imaging in medicine and surgery Ročník 11; číslo 1; s. 392
Hlavní autori:	Bernard, Angélique, Comby, Pierre-Olivier, Lemogne, Brivaël, Haioun, Karim, Ricolfi, Frédéric, Chevallier, Olivier, Loffroy, Romaric
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	China 01.01.2021
Predmet:	deep learning Computed tomography angiography (CTA) image reconstruction artificial intelligence cardiac imaging
ISSN:	2223-4292
On-line prístup:	Zistit podrobnosti o prístupe
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!