Image quality assessment of pediatric chest and abdomen CT by deep learning reconstruction

Image quality assessment of pediatric chest and abdomen CT by deep learning reconstruction

Abstract Background Efforts to reduce the radiation dose have continued steadily, with new reconstruction techniques. Recently, image denoising algorithms using artificial neural networks, termed deep learning reconstruction (DLR), have been applied to CT image reconstruction to overcome the drawbac...

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Bibliographic Details
Main Authors: Haesung Yoon, Jisoo Kim, Hyun Ji Lim, Mi-Jung Lee
Format: Article
Language:English
Published: BMC 2021-10-01
Series:BMC Medical Imaging
Subjects:
Pediatric
CT
Image quality
Deep learning
Iterative reconstruction
Online Access:https://doi.org/10.1186/s12880-021-00677-2

Internet

https://doi.org/10.1186/s12880-021-00677-2

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