Assessment of low-dose paranasal sinus CT imaging using a new deep learning image reconstruction technique in children compared to adaptive statistical iterative reconstruction V (ASiR-V)

PURPOSE: To compare the effects of deep learning image reconstruction (DLIR) and adaptive statistical iterative reconstruction V (ASiR-V) on image quality in low-dose computed tomography (CT) of paranasal sinuses in children. METHODS: Low-dose CT scans of the paranasal sinuses in 25 pediatric patien...

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Detalles Bibliográficos
Autores principales: Li, Yang, Liu, Xia, Zhuang, Xun-hui, Wang, Ming-jun, Song, Xiu-feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9164403/
https://www.ncbi.nlm.nih.gov/pubmed/35658908
http://dx.doi.org/10.1186/s12880-022-00834-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9164403/
https://www.ncbi.nlm.nih.gov/pubmed/35658908
http://dx.doi.org/10.1186/s12880-022-00834-1

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