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Application of a deep learning image reconstruction (DLIR) algorithm in head CT imaging for children to improve image quality and lesion detection
BACKGROUND: To evaluate the performance of a Deep Learning Image Reconstruction (DLIR) algorithm in pediatric head CT for improving image quality and lesion detection with 0.625 mm thin-slice images. METHODS: Low-dose axial head CT scans of 50 children with 120 kV, 0.8 s rotation and age-dependent 1...
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| Publicado no: | BMC Med Imaging |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8268450/ https://ncbi.nlm.nih.gov/pubmed/34238229 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12880-021-00637-w |
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