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Limited-Angle CT Reconstruction with Generative Adversarial Network Sinogram Inpainting and Unsupervised Artifact Removal
Content Provider | MDPI |
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Author | Xie, En Ni, Peijun Zhang, Rongfan Li, Xiongbing |
Copyright Year | 2022 |
Abstract | High-quality limited-angle computed tomography (CT) reconstruction is in high demand in the medical field. Being unlimited by the pairing of sinogram and the reconstructed image, unsupervised methods have attracted wide attention from researchers. The reconstruction limit of the existing unsupervised reconstruction methods, however, is to use |
Starting Page | 6268 |
e-ISSN | 20763417 |
DOI | 10.3390/app12126268 |
Journal | Applied Sciences |
Issue Number | 12 |
Volume Number | 12 |
Language | English |
Publisher | MDPI |
Publisher Date | 2022-06-20 |
Access Restriction | Open |
Subject Keyword | Applied Sciences Hardware and Architecturee Sinogram Inpainting Generative Adversarial Network Limited-angle Ct Reconstruction Image Reconstruction Artificial Intelligence Machine Learning |
Content Type | Text |
Resource Type | Article |