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...

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Detalles Bibliográficos
Autores principales: Lenfant, Marc, Chevallier, Olivier, Comby, Pierre-Olivier, Secco, Grégory, Haioun, Karim, Ricolfi, Frédéric, Lemogne, Brivaël, Loffroy, Romaric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7460033/
https://www.ncbi.nlm.nih.gov/pubmed/32759874
http://dx.doi.org/10.3390/diagnostics10080558

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7460033/
https://www.ncbi.nlm.nih.gov/pubmed/32759874
http://dx.doi.org/10.3390/diagnostics10080558

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