Deep-learning-based ring artifact correction for tomographic reconstruction

X-ray tomography has been widely used in various research fields thanks to its capability of observing 3D structures with high resolution non-destructively. However, due to the nonlinearity and inconsistency of detector pixels, ring artifacts usually appear in tomographic reconstruction, which may c...

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Detalles Bibliográficos
Autores principales: Fu, Tianyu, Wang, Yan, Zhang, Kai, Zhang, Jin, Wang, Shanfeng, Huang, Wanxia, Wang, Yaling, Yao, Chunxia, Zhou, Chenpeng, Yuan, Qingxi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2023
Materias:
Research Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10161896/
https://www.ncbi.nlm.nih.gov/pubmed/36897392
http://dx.doi.org/10.1107/S1600577523000917

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10161896/
https://www.ncbi.nlm.nih.gov/pubmed/36897392
http://dx.doi.org/10.1107/S1600577523000917

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