Low-dose CT urography using deep learning image reconstruction: a prospective study for comparison with conventional CT urography

OBJECTIVES: To compare the image quality of low-dose CT urography (LD-CTU) using deep learning image reconstruction (DLIR) with conventional CTU (C-CTU) using adaptive statistical iterative reconstruction (ASIR-V). METHODS: This was a prospective, single-institutional study using the excretory phase...

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Detalhes bibliográficos
Publicado no:Br J Radiol
Main Authors: Cheng, Yannan, Han, Yangyang, Li, Jianying, Fan, Ganglian, Cao, Le, Li, Junjun, Jia, Xiaoqian, Yang, Jian, Guo, Jianxin
Formato: Artigo
Idioma:Inglês
Publicado em: The British Institute of Radiology. 2021
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Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8010546/
https://ncbi.nlm.nih.gov/pubmed/33571034
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1259/bjr.20201291
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