Superior objective and subjective image quality of deep learning reconstruction for low-dose abdominal CT imaging in comparison with model-based iterative reconstruction and filtered back projection

OBJECTIVE: This study aimed to conduct objective and subjective comparisons of image quality among abdominal computed tomography (CT) reconstructions with deep learning reconstruction (DLR) algorithms, model-based iterative reconstruction (MBIR), and filtered back projection (FBP). METHODS: Datasets...

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Detalles Bibliográficos
Autores principales: Tamura, Akio, Mukaida, Eisuke, Ota, Yoshitaka, Kamata, Masayoshi, Abe, Shun, Yoshioka, Kunihiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The British Institute of Radiology. 2021
Materias:
Full Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8248220/
https://www.ncbi.nlm.nih.gov/pubmed/34142867
http://dx.doi.org/10.1259/bjr.20201357

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8248220/
https://www.ncbi.nlm.nih.gov/pubmed/34142867
http://dx.doi.org/10.1259/bjr.20201357

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