Acta Optica Sinica, Volume. 44, Issue 4, 0412003(2024)
Estimation of Equivalent Atomic Number and Density for Bronze Vessels Based on Spectral Computed Tomography
[1] Long Z R. Research on noise reduction and material identification of X-ray energy spectrum CT image based on photon counting detector[D](2020).
[2] Alvarez R E, Macovski A. Energy-selective reconstructions in X-ray computerised tomography[J]. Physics in Medicine & Biology, 21, 733-744(1976).
[3] Macovski A, Alvarez R E, Chan J L H et al. Energy dependent reconstruction in X-ray computerized tomography[J]. Computers in Biology and Medicine, 6, 325-336(1976).
[4] Heismann B J, Leppert J, Stierstorfer K. Density and atomic number measurements with spectral X-ray attenuation method[J]. Journal of Applied Physics, 94, 2073-2079(2003).
[5] Wang T W, Evans J P O. Stereoscopic dual-energy X-ray imaging for target materials identification[J]. IEE Proceedings-Vision, Image, and Signal Processing, 150, 122-130(2003).
[6] Chang S, Lee H K, Cho G. Application of a dual-energy monochromatic X-ray CT algorithm to polychromatic X-ray CT: a feasibility study[J]. Nuclear Engineering and Technology, 44, 61-70(2012).
[7] Teles A P, Lima I, Lopes R T. Rock porosity quantification by dual-energy X-ray computed microtomography[J]. Micron, 83, 72-78(2016).
[8] Chang Q Q, Chen J M, Shen T M et al. An algorithm for extracting effective atomic number of materials based on dual-energy X-ray system[J]. Computer Simulation, 31, 297-301(2014).
[9] Osipov S P, Udod V A, Wang Y. Identification of materials in X-ray inspections of objects by the dual-energy method[J]. Russian Journal of Nondestructive Testing, 53, 568-587(2017).
[10] Guo Q, Jiang H, Yang J J et al. Visual inspection of food packaging paper by X-ray fluorescence spectroscopy combined with deep learning algorithm[J]. Laser & Optoelectronics Progress, 59, 0434001(2022).
[11] Song H S, Chen Z, Xu D C et al. Prediction of Cr, Mn, and Ni in medium and low alloy steels by GA-BP neural network combined with EDXRF technology[J]. Laser & Optoelectronics Progress, 59, 1234001(2022).
[12] Ren J J, Jiao T X, Gu J et al. Terahertz coal ash prediction method based on dual-channel convolutional neural network[J]. Acta Optica Sinica, 43, 2230001(2023).
[13] Alves H, Lima I, Lopes R T. Methodology for attainment of density and effective atomic number through dual energy technique using microtomographic images[J]. Applied Radiation and Isotopes, 89, 6-12(2014).
[14] Wang P C, Niu Y T, Liu D H et al[M]. Radiation physics and protection, 47-58(2016).
Get Citation
Copy Citation Text
Siyu Li, Xinrui Zhang, Ailong Cai, Shaoyu Wang, Lei Li, Bin Yan. Estimation of Equivalent Atomic Number and Density for Bronze Vessels Based on Spectral Computed Tomography[J]. Acta Optica Sinica, 2024, 44(4): 0412003
Category: Instrumentation, Measurement and Metrology
Received: Sep. 28, 2023
Accepted: Dec. 1, 2023
Published Online: Mar. 4, 2024
The Author Email: Yan Bin (ybspace@hotmail.com)
CSTR:32393.14.AOS231611