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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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Detalles Bibliográficos
Publicado en:Phys Med Biol
Main Authors: Xie, Zhaoheng, Baikejiang, Reheman, Li, Tiantian, Zhang, Xuezhu, Gong, Kuang, Zhang, Mengxi, Qi, Wenyuan, Asma, Evren, Qi, Jinyi
Formato: Artigo
Idioma:Inglês
Publicado: 2020
Assuntos:
Acceso en liña: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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