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Improving the image quality of pediatric chest CT angiography with low radiation dose and contrast volume using deep learning image reconstruction

BACKGROUND: Chest CT angiography (CTA) is a common clinical examination technique for children. Iterative reconstruction algorithms are often used to reduce image noise but encounter limitations under low dose conditions. Deep learning-based image reconstruction algorithms have been developed to ove...

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Detalhes bibliográficos
Publicado no:Quant Imaging Med Surg
Main Authors: Sun, Jihang, Li, Haoyan, Li, Jianying, Yu, Tong, Li, Michelle, Zhou, Zuofu, Peng, Yun
Formato: Artigo
Idioma:Inglês
Publicado em: AME Publishing Company 2021
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Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8250028/
https://ncbi.nlm.nih.gov/pubmed/34249634
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.21037/qims-20-1158
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