Deep Learning-Based Versus Iterative Image Reconstruction for Unenhanced Brain CT: A Quantitative Comparison of Image Quality

This exploratory retrospective study aims to quantitatively compare the image quality of unenhanced brain computed tomography (CT) reconstructed with an iterative (AIDR-3D) and a deep learning-based (AiCE) reconstruction algorithm. After a preliminary phantom study, AIDR-3D and AiCE reconstructions...

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Detalles Bibliográficos
Autores principales: Cozzi, Andrea, Cè, Maurizio, De Padova, Giuseppe, Libri, Dario, Caldarelli, Nazarena, Zucconi, Fabio, Oliva, Giancarlo, Cellina, Michaela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10514884/
https://www.ncbi.nlm.nih.gov/pubmed/37736983
http://dx.doi.org/10.3390/tomography9050130

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10514884/
https://www.ncbi.nlm.nih.gov/pubmed/37736983
http://dx.doi.org/10.3390/tomography9050130

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