PET image denoising using unsupervised deep learning

PURPOSE: Image quality of positron emission tomography (PET) is limited by various physical degradation factors. Our study aims to perform PET image denoising by utilizing prior information from the same patient. The proposed method is based on unsupervised deep learning, where no training pairs are...

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Detalhes bibliográficos
Publicado no:Eur J Nucl Med Mol Imaging
Main Authors: Cui, Jianan, Gong, Kuang, Guo, Ning, Wu, Chenxi, Meng, Xiaxia, Kim, Kyungsang, Zheng, Kun, Wu, Zhifang, Fu, Liping, Xu, Baixuan, Zhu, Zhaohui, Tian, Jiahe, Liu, Huafeng, Li, Quanzheng
Formato: Artigo
Idioma:Inglês
Publicado em: 2019
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7814987/
https://ncbi.nlm.nih.gov/pubmed/31468181
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00259-019-04468-4
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