Combining deep learning with a kinetic model to predict dynamic PET images and generate parametric images

BACKGROUND: Dynamic positron emission tomography (PET) images are useful in clinical practice because they can be used to calculate the metabolic parameters (K(i)) of tissues using graphical methods (such as Patlak plots). K(i) is more stable than the standard uptake value and has a good reference v...

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Detalles Bibliográficos
Autores principales: Liang, Ganglin, Zhou, Jinpeng, Chen, Zixiang, Wan, Liwen, Wumener, Xieraili, Zhang, Yarong, Liang, Dong, Liang, Ying, Hu, Zhanli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10597982/
https://www.ncbi.nlm.nih.gov/pubmed/37874426
http://dx.doi.org/10.1186/s40658-023-00579-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10597982/
https://www.ncbi.nlm.nih.gov/pubmed/37874426
http://dx.doi.org/10.1186/s40658-023-00579-y

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