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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Publicado en:	European Journal of Nuclear Medicine & Molecular Imaging Vol. 46; no. 13; pp. 2780 - 2790
Autores principales:	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:	Journal Article
Publicado:	Springer Nature Dec2019
Acceso en línea:	Ver este registro en EBSCOhost