The Value of Deep Learning Image Reconstruction in Improving the Quality of Low-Dose Chest CT Images

This study aimed to evaluate the value of the deep learning image reconstruction (DLIR) algorithm (GE Healthcare’s TrueFidelity™) in improving the image quality of low-dose computed tomography (LDCT) of the chest. First, we retrospectively extracted raw data of chest LDCT from 50 patients and recons...

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Detalles Bibliográficos
Autores principales: Jiang, Jiu-Ming, Miao, Lei, Liang, Xin, Liu, Zhuo-Heng, Zhang, Li, Li, Meng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9601258/
https://www.ncbi.nlm.nih.gov/pubmed/36292249
http://dx.doi.org/10.3390/diagnostics12102560

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9601258/
https://www.ncbi.nlm.nih.gov/pubmed/36292249
http://dx.doi.org/10.3390/diagnostics12102560

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