Deep learning-assisted PET imaging achieves fast scan/low-dose examination

PURPOSE: This study aimed to investigate the impact of a deep learning (DL)-based denoising method on the image quality and lesion detectability of (18)F-FDG positron emission tomography (PET) images. METHODS: Fifty-two oncological patients undergoing an (18)F-FDG PET/CT imaging with an acquisition...

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Detalles Bibliográficos
Autores principales: Xing, Yan, Qiao, Wenli, Wang, Taisong, Wang, Ying, Li, Chenwei, Lv, Yang, Xi, Chen, Liao, Shu, Qian, Zheng, Zhao, Jinhua
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/PMC8816983/
https://www.ncbi.nlm.nih.gov/pubmed/35122172
http://dx.doi.org/10.1186/s40658-022-00431-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8816983/
https://www.ncbi.nlm.nih.gov/pubmed/35122172
http://dx.doi.org/10.1186/s40658-022-00431-9

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