Adaptation of Deep Learning Image Reconstruction for Pediatric Head CT: A Focus on the Image Quality

PURPOSE: To assess the effect of deep learning image reconstruction (DLIR) for head CT in pediatric patients. MATERIALS AND METHODS: We collected 126 pediatric head CT images, which were reconstructed using filtered back projection, iterative reconstruction using adaptive statistical iterative recon...

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Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2023
Materias:
Pediatric Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9935960/
https://www.ncbi.nlm.nih.gov/pubmed/36818715
http://dx.doi.org/10.3348/jksr.2021.0073

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9935960/
https://www.ncbi.nlm.nih.gov/pubmed/36818715
http://dx.doi.org/10.3348/jksr.2021.0073

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