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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Detalles Bibliográficos
Autores principales: Sun, Jihang, Li, Haoyan, Wang, Bei, Li, Jianying, Li, Michelle, Zhou, Zuofu, Peng, Yun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8268450/
https://www.ncbi.nlm.nih.gov/pubmed/34238229
http://dx.doi.org/10.1186/s12880-021-00637-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8268450/
https://www.ncbi.nlm.nih.gov/pubmed/34238229
http://dx.doi.org/10.1186/s12880-021-00637-w

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