Diffused Multi-scale Generative Adversarial Network for low-dose PET images reconstruction

Diffused Multi-scale Generative Adversarial Network for low-dose PET images reconstruction

Abstract Purpose The aim of this study is to convert low-dose PET (L-PET) images to full-dose PET (F-PET) images based on our Diffused Multi-scale Generative Adversarial Network (DMGAN) to offer a potential balance between reducing radiation exposure and maintaining diagnostic performance. Methods T...

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Bibliographic Details
Main Authors: Xiang Yu, Daoyan Hu, Qiong Yao, Yu Fu, Yan Zhong, Jing Wang, Mei Tian, Hong Zhang
Format: Article
Language:English
Published: BMC 2025-02-01
Series:BioMedical Engineering OnLine
Subjects:
Positron emission tomography
Deep learning
Image reconstruction
Low-dose PET
Online Access:https://doi.org/10.1186/s12938-025-01348-x
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https://doi.org/10.1186/s12938-025-01348-x

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