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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...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2022
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| Materias: | |
| 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 |