Impact of novel deep learning image reconstruction algorithm on diagnosis of contrast-enhanced liver computed tomography imaging: Comparing to adaptive statistical iterative reconstruction algorithm

OBJECTIVE: To assess clinical application of applying deep learning image reconstruction (DLIR) algorithm to contrast-enhanced portal venous phase liver computed tomography (CT) for improving image quality and lesions detection rate compared with using adaptive statistical iterative reconstruction (...

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Detalles Bibliográficos
Autores principales: Yang, Shuo, Bie, Yifan, Pang, Guodong, Li, Xingchao, Zhao, Kun, Zhang, Changlei, Zhong, Hai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOS Press 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8609699/
https://www.ncbi.nlm.nih.gov/pubmed/34569983
http://dx.doi.org/10.3233/XST-210953

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8609699/
https://www.ncbi.nlm.nih.gov/pubmed/34569983
http://dx.doi.org/10.3233/XST-210953

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