Restoration of amyloid PET images obtained with short-time data using a generative adversarial networks framework

Our purpose in this study is to evaluate the clinical feasibility of deep-learning techniques for F-18 florbetaben (FBB) positron emission tomography (PET) image reconstruction using data acquired in a short time. We reconstructed raw FBB PET data of 294 patients acquired for 20 and 2 min into stand...

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Detalles Bibliográficos
Autores principales: Jeong, Young Jin, Park, Hyoung Suk, Jeong, Ji Eun, Yoon, Hyun Jin, Jeon, Kiwan, Cho, Kook, Kang, Do-Young
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7921674/
https://www.ncbi.nlm.nih.gov/pubmed/33649403
http://dx.doi.org/10.1038/s41598-021-84358-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7921674/
https://www.ncbi.nlm.nih.gov/pubmed/33649403
http://dx.doi.org/10.1038/s41598-021-84358-8

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