Deep learning–based reconstruction may improve non-contrast cerebral CT imaging compared to other current reconstruction algorithms

OBJECTIVES: To evaluate image quality and reconstruction times of a commercial deep learning reconstruction algorithm (DLR) compared to hybrid-iterative reconstruction (Hybrid-IR) and model-based iterative reconstruction (MBIR) algorithms for cerebral non-contrast CT (NCCT). METHODS: Cerebral NCCT a...

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Detalles Bibliográficos
Autores principales: Oostveen, Luuk J., Meijer, Frederick J. A., de Lange, Frank, Smit, Ewoud J., Pegge, Sjoert A., Steens, Stefan C. A., van Amerongen, Martin J., Prokop, Mathias, Sechopoulos, Ioannis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Computed Tomography
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8270865/
https://www.ncbi.nlm.nih.gov/pubmed/33693996
http://dx.doi.org/10.1007/s00330-020-07668-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8270865/
https://www.ncbi.nlm.nih.gov/pubmed/33693996
http://dx.doi.org/10.1007/s00330-020-07668-x

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