75% radiation dose reduction using deep learning reconstruction on low-dose chest CT

OBJECTIVE: Few studies have explored the clinical feasibility of using deep-learning reconstruction to reduce the radiation dose of CT. We aimed to compare the image quality and lung nodule detectability between chest CT using a quarter of the low dose (QLD) reconstructed with vendor-agnostic deep-l...

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Detalles Bibliográficos
Autores principales: Jo, Gyeong Deok, Ahn, Chulkyun, Hong, Jung Hee, Kim, Da Som, Park, Jongsoo, Kim, Hyungjin, Kim, Jong Hyo, Goo, Jin Mo, Nam, Ju Gang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10494344/
https://www.ncbi.nlm.nih.gov/pubmed/37697262
http://dx.doi.org/10.1186/s12880-023-01081-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10494344/
https://www.ncbi.nlm.nih.gov/pubmed/37697262
http://dx.doi.org/10.1186/s12880-023-01081-8

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