Clinical and phantom validation of a deep learning based denoising algorithm for F-18-FDG PET images from lower detection counting in comparison with the standard acquisition

BACKGROUND: PET/CT image quality is directly influenced by the F-18-FDG injected activity. The higher the injected activity, the less noise in the reconstructed images but the more radioactive staff exposition. A new FDA cleared software has been introduced to obtain clinical PET images, acquired at...

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Detalles Bibliográficos
Autores principales: Bonardel, Gerald, Dupont, Axel, Decazes, Pierre, Queneau, Mathieu, Modzelewski, Romain, Coulot, Jeremy, Le Calvez, Nicolas, Hapdey, Sébastien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9095795/
https://www.ncbi.nlm.nih.gov/pubmed/35543894
http://dx.doi.org/10.1186/s40658-022-00465-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9095795/
https://www.ncbi.nlm.nih.gov/pubmed/35543894
http://dx.doi.org/10.1186/s40658-022-00465-z

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