Enhancement of (18)F-Fluorodeoxyglucose PET Image Quality by Deep-Learning-Based Image Reconstruction Using Advanced Intelligent Clear-IQ Engine in Semiconductor-Based PET/CT Scanners

Deep learning (DL) image quality improvement has been studied for application to (18)F-fluorodeoxyglucose positron emission tomography/computed tomography ((18)F-FDG PET/CT). It is unclear, however, whether DL can increase the quality of images obtained with semiconductor-based PET/CT scanners. This...

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Detalles Bibliográficos
Autores principales: Yamagiwa, Ken, Tsuchiya, Junichi, Yokoyama, Kota, Watanabe, Ryosuke, Kimura, Koichiro, Kishino, Mitsuhiro, Tateishi, Ukihide
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9599974/
https://www.ncbi.nlm.nih.gov/pubmed/36292189
http://dx.doi.org/10.3390/diagnostics12102500

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9599974/
https://www.ncbi.nlm.nih.gov/pubmed/36292189
http://dx.doi.org/10.3390/diagnostics12102500

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