Iterative PET image reconstruction using cascaded data consistency generative adversarial network

Iterative PET image reconstruction using cascaded data consistency generative adversarial network

This study proposed a GAN‐based reconstruction method‐cascaded data consistency generative adversarial network (CDCGAN) to recover high‐quality PET images from filtered back projection PET images with streaking artifacts and high noise. First, the authors embed defined data consistency layer (DC lay...

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Bibliographic Details
Main Authors: Qianqian Du, Xueting Ren, Jiawen Wang, Yan Qiang, Xiaotang Yang, Ntikurako Guy‐Fernand Kazihise
Format: Article
Language:English
Published: Wiley 2020-12-01
Series:IET Image Processing
Subjects:
iterative PET image reconstruction
GAN‐based reconstruction method‐cascaded data consistency generative adversarial network
high‐quality PET images
filtered back projection PET images
streaking artifacts
generator network
Online Access:https://doi.org/10.1049/iet-ipr.2020.1056

Internet

https://doi.org/10.1049/iet-ipr.2020.1056

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