Deep learning based high-resolution incoherent x-ray imaging with a single-pixel detector

Yu-Hang He; Yu-Hang He; Ai-Xin Zhang; Ai-Xin Zhang; Ming-Fei Li; Yi-Yi Huang; Yi-Yi Huang; Bao-Gang Quan; Bao-Gang Quan; Da-Zhang Li; Ling-An Wu; Ling-An Wu; Li-Ming Chen; Li-Ming Chen; Li-Ming Chen; Li-Ming Chen

doi:10.1364/ISA.2020.ITh3E.4

Imaging and Applied Optics Congress
OSA Technical Digest (Optica Publishing Group, 2020),
paper ITh3E.4
•https://doi.org/10.1364/ISA.2020.ITh3E.4

Deep learning based high-resolution incoherent x-ray imaging with a single-pixel detector

Yu-Hang He, Ai-Xin Zhang, Ming-Fei Li, Yi-Yi Huang, Bao-Gang Quan, Da-Zhang Li, Ling-An Wu, and Li-Ming Chen

Imaging Systems and Applications 2020

Washington, DC United States
22–26 June 2020
ISBN: 978-1-943580-77-4

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Image Processing and Analysis (ITh3E)

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Y. He, A. Zhang, M. Li, Y. Huang, B. Quan, D. Li, L. Wu, and L. Chen, "Deep learning based high-resolution incoherent x-ray imaging with a single-pixel detector," in Imaging and Applied Optics Congress, OSA Technical Digest (Optica Publishing Group, 2020), paper ITh3E.4.

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Abstract

How to lower the dose but maintain image quality is a challenge for x-ray imaging. Based on ghost imaging with a portable incoherent x-ray source we have reduced the radiation by an order of magnitude yet attained a resolution of 10pm, the minimum requirement for cancer diagnosis. The setup is simple and so has great potential for biomedicine.

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