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

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

Abstract 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 refe...

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Bibliographic Details
Main Authors: Ganglin Liang, Jinpeng Zhou, Zixiang Chen, Liwen Wan, Xieraili Wumener, Yarong Zhang, Dong Liang, Ying Liang, Zhanli Hu
Format: Article
Language:English
Published: SpringerOpen 2023-10-01
Series:EJNMMI Physics
Subjects:
Parametric imaging
Image generation
Deep learning
Kinetic model
Dynamic PET images
Online Access:https://doi.org/10.1186/s40658-023-00579-y

Internet

https://doi.org/10.1186/s40658-023-00579-y

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