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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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| Publicado no: | Quant Imaging Med Surg |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
AME Publishing Company
2021
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| Assuntos: | |
| 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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