18F-FDG dose reduction using deep learning-based PET reconstruction

18F-FDG dose reduction using deep learning-based PET reconstruction

Abstract Background A deep learning-based image reconstruction (DLR) algorithm that can reduce the statistical noise has been developed for PET/CT imaging. It may reduce the administered dose of 18F-FDG and minimize radiation exposure while maintaining diagnostic quality. This retrospective study ev...

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Main Authors: Ryuji Akita, Komei Takauchi, Mana Ishibashi, Shota Kondo, Shogo Ono, Kazushi Yokomachi, Yusuke Ochi, Masao Kiguchi, Hidenori Mitani, Yuko Nakamura, Kazuo Awai
Format: Article
Language:English
Published: SpringerOpen 2025-07-01
Series:EJNMMI Research
Subjects:
18F-FDG
PET/CT
Dose reduction
Deep learning-based reconstruction
Image quality
Online Access:https://doi.org/10.1186/s13550-025-01269-9
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