Imaging quality of an artificial intelligence denoising algorithm: validation in (68)Ga PSMA-11 PET for patients with biochemical recurrence of prostate cancer

BACKGROUND: (68) Ga-PSMA PET is the leading prostate cancer imaging technique, but the image quality remains noisy and could be further improved using an artificial intelligence-based denoising algorithm. To address this issue, we analyzed the overall quality of reprocessed images compared to standa...

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Detalles Bibliográficos
Autores principales: Margail, Charles, Merlin, Charles, Billoux, Tommy, Wallaert, Maxence, Otman, Hosameldin, Sas, Nicolas, Molnar, Ioana, Guillemin, Florent, Boyer, Louis, Guy, Laurent, Tempier, Marion, Levesque, Sophie, Revy, Alban, Cachin, Florent, Chanchou, Marion
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10212905/
https://www.ncbi.nlm.nih.gov/pubmed/37231229
http://dx.doi.org/10.1186/s13550-023-00999-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10212905/
https://www.ncbi.nlm.nih.gov/pubmed/37231229
http://dx.doi.org/10.1186/s13550-023-00999-y

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