Chin. Phys. Lett.  2020, Vol. 37 Issue (4): 044208    DOI: 10.1088/0256-307X/37/4/044208
FUNDAMENTAL AREAS OF PHENOMENOLOGY(INCLUDING APPLICATIONS) |
Energy-Selective X-Ray Ghost Imaging
Yu-Hang He1,2, Ai-Xin Zhang1,2, Wen-Kai Yu3, Li-Ming Chen4**, Ling-An Wu1,2**
1Institute of Physics, Chinese Academy of Sciences, Beijing 100191
2University of Chinese Academy of Sciences, Beijing 100049
3School of Physics, Beijing Institute of Technology, Beijing 100081
4Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai 200240
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Yu-Hang He, Ai-Xin Zhang, Wen-Kai Yu et al  2020 Chin. Phys. Lett. 37 044208
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Abstract X-ray ghost imaging (XGI) has opened up a new avenue for damage-free medical imaging. Here energy-selective spectroscopic XGI under poor illumination is demonstrated with a single-pixel detector for the first time. The key device was a specially fabricated Au mask incorporating a new modulation pattern design, by which means images of a real object were obtained with a spatial resolution of 10 μm and a spectral energy resolution of about 1.5 keV. Compressed sensing was also introduced to improve the image quality. Our proof-of-principle experiment extends the methodology of XGI to make possible the retrieval of spectral images with only a single-pixel detector, and paves the way for potential applications in many fields such as biology, material science and environmental sensing.
Received: 13 February 2020      Published: 24 March 2020
PACS:  42.30.Va (Image forming and processing)  
  42.30.Wb (Image reconstruction; tomography)  
  87.57.-s (Medical imaging)  
  87.59.bd (Computed radiography)  
Fund: Supported by the Science Challenge Project (No. TZ2018005), the Civil Space Project (No. D040301-1), the National Natural Science Foundation of China (Nos. 11991073, 11721404, and 61975229), the National Key R&D Program of China (Nos. 2017YFA0403301 and 2018YFB0504302), and the Key Program of CAS (No. XDB17030500).
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http://cpl.iphy.ac.cn/10.1088/0256-307X/37/4/044208       OR      http://cpl.iphy.ac.cn/Y2020/V37/I4/044208
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Yu-Hang He
Ai-Xin Zhang
Wen-Kai Yu
Li-Ming Chen
Ling-An Wu
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