Radiation dose reduction using deep learning-based image reconstruction for a low-dose chest computed tomography protocol: a phantom study

BACKGROUND: The aim of this study was to compare the dose reduction potential and image quality of deep learning-based image reconstruction (DLIR) with those of filtered back-projection (FBP) and iterative reconstruction (IR) and to determine the clinically usable dose of DLIR for low-dose chest com...

Descripción completa

Detalles Bibliográficos
Autores principales: Jung, Yunsub, Hur, Jin, Han, Kyunghwa, Imai, Yasuhiro, Hong, Yoo Jin, Im, Dong Jin, Lee, Kye Ho, Desnoyers, Melissa, Thomsen, Brian, Shigemasa, Risa, Um, Kyounga, Jang, Kyungeun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10006148/
https://www.ncbi.nlm.nih.gov/pubmed/36915339
http://dx.doi.org/10.21037/qims-22-618

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10006148/
https://www.ncbi.nlm.nih.gov/pubmed/36915339
http://dx.doi.org/10.21037/qims-22-618

Ejemplares similares