Deep learning versus iterative image reconstruction algorithm for head CT in trauma

PURPOSE: To compare the image quality between a deep learning–based image reconstruction algorithm (DLIR) and an adaptive statistical iterative reconstruction algorithm (ASiR-V) in noncontrast trauma head CT. METHODS: Head CT scans from 94 consecutive trauma patients were included. Images were recon...

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Detalles Bibliográficos
Autores principales: Alagic, Zlatan, Diaz Cardenas, Jacqueline, Halldorsson, Kolbeinn, Grozman, Vitali, Wallgren, Stig, Suzuki, Chikako, Helmenkamp, Johan, Koskinen, Seppo K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8917108/
https://www.ncbi.nlm.nih.gov/pubmed/34984574
http://dx.doi.org/10.1007/s10140-021-02012-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8917108/
https://www.ncbi.nlm.nih.gov/pubmed/34984574
http://dx.doi.org/10.1007/s10140-021-02012-2

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