Low-contrast detectability and potential for radiation dose reduction using deep learning image reconstruction—A 20-reader study on a semi-anthropomorphic liver phantom

BACKGROUND: A novel deep learning image reconstruction (DLIR) algorithm for CT has recently been clinically approved. PURPOSE: To assess low-contrast detectability and dose reduction potential for CT images reconstructed with the DLIR algorithm and compare with filtered back projection (FBP) and hyb...

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Detalles Bibliográficos
Autores principales: Njølstad, Tormund, Jensen, Kristin, Dybwad, Anniken, Salvesen, Øyvind, Andersen, Hilde K., Schulz, Anselm
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8980706/
https://www.ncbi.nlm.nih.gov/pubmed/35391822
http://dx.doi.org/10.1016/j.ejro.2022.100418

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8980706/
https://www.ncbi.nlm.nih.gov/pubmed/35391822
http://dx.doi.org/10.1016/j.ejro.2022.100418

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