Bidirectional dynamic frame prediction network for total-body [68Ga]Ga-PSMA-11 and [68Ga]Ga-FAPI-04 PET images

Bidirectional dynamic frame prediction network for total-body [68Ga]Ga-PSMA-11 and [68Ga]Ga-FAPI-04 PET images

Abstract Purpose Total-body dynamic positron emission tomography (PET) imaging with total-body coverage and ultrahigh sensitivity has played an important role in accurate tracer kinetic analyses in physiology, biochemistry, and pharmacology. However, dynamic PET scans typically entail prolonged dura...

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Bibliographic Details
Main Authors: Qianyi Yang, Wenbo Li, Zhenxing Huang, Zixiang Chen, Wenjie Zhao, Yunlong Gao, Xinlan Yang, Yongfeng Yang, Hairong Zheng, Dong Liang, Jianjun Liu, Ruohua Chen, Zhanli Hu
Format: Article
Language:English
Published: SpringerOpen 2024-11-01
Series:EJNMMI Physics
Subjects:
Total-body dynamic PET
Frame prediction
Image generation
Deep learning
Online Access:https://doi.org/10.1186/s40658-024-00698-0
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