Deep Learning Versus Iterative Reconstruction for CT Pulmonary Angiography in the Emergency Setting: Improved Image Quality and Reduced Radiation Dose

Deep Learning Versus Iterative Reconstruction for CT Pulmonary Angiography in the Emergency Setting: Improved Image Quality and Reduced Radiation Dose

To compare image quality and the radiation dose of computed tomography pulmonary angiography (CTPA) subjected to the first deep learning-based image reconstruction (DLR) (50%) algorithm, with images subjected to the hybrid-iterative reconstruction (IR) technique (50%). One hundred forty patients who...

Full description

Bibliographic Details
Main Authors: Marc Lenfant, Olivier Chevallier, Pierre-Olivier Comby, Grégory Secco, Karim Haioun, Frédéric Ricolfi, Brivaël Lemogne, Romaric Loffroy
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Diagnostics
Subjects:
computed tomography angiography
pulmonary embolism
artificial intelligence
image reconstruction
deep learning
Online Access:https://www.mdpi.com/2075-4418/10/8/558

Internet

https://www.mdpi.com/2075-4418/10/8/558

Similar Items