Generative adversarial network based regularized image reconstruction for PET

Positron emission tomography (PET) is an ill-posed inverse problem and suffers high noise due to limited number of detected events. Prior information can be used to improve the quality of reconstructed PET images. Deep neural networks have also been applied to regularized image reconstruction. One m...

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Bibliographic Details
Published in:Phys Med Biol
Main Authors: Xie, Zhaoheng, Baikejiang, Reheman, Li, Tiantian, Zhang, Xuezhu, Gong, Kuang, Zhang, Mengxi, Qi, Wenyuan, Asma, Evren, Qi, Jinyi
Format: Artigo
Language:Inglês
Published: 2020
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Article
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC7413644/
https://ncbi.nlm.nih.gov/pubmed/32357352
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/1361-6560/ab8f72
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