journal article·2018-08

Estimating the Influence of Quantum Noises on the Quality of Material Identification by the Dual-Energy Method

V. A. Udod, S. P. Osipov, Y. Wang

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Abstract

A mathematical model has been developed to describe the radiation transparency of a test object with allowance for quantum noise. The technique of estimating the effective atomic number of the test object by the dual-energy method has been improved based on the analysis of radiation transparency with regard to necessary restrictions and recommendations. An algorithm is presented for the statistical evaluation of the influence of quantum noises on the quality of test-object material identification by the dual-energy method. An example is given of using the algorithm in a baggage and carry-on inspection system that has the maximum X-ray energies of 80 and 160 keV and is equipped with total-absorption detectors.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced X-ray and CT Imaging · Welding Techniques and Residual Stresses · Radiation Dose and Imaging

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (40)

Show source-provided references
1. Kovalev, A.V., Counter-terrorist inspection, Kontrol’. Diagn., 2014, no. 3, pp. 89–92.10.14489/td.2014.03.pp.089-092 ↗
2. Macdonald Richard D.R., Design and implementation of a dual-energy X-ray imaging system for organic material detection in an airport security application, Proc. SPIE, 2001, vol. 4301, pp. 31–41.10.1117/12.420922 ↗
3. Park, J.S. and Kim, J.K., Calculation of the effective atomic number and normal density using a source-weighting method in a dual energy X-ray inspection system, J. Korean Phys. Soc., 2011, vol. 59, no. 4, pp. 2709–2713.10.3938/jkps.59.2709 ↗
4. Udod, V.A., Van, Ya., Osipov, S.P., Chakhlov, S.V., Usachev, E.Yu., Lebedev, M.B., and Temnik, A.K., Stateof-the art and development prospects of digital radiography systems for nondestructive testing, evaluation, and inspection of objects: a review, Russ. J. Nondestr. Test., 2016, vol. 52, no. 9, pp. 492–503.
5. Klimenov, V.A., Osipov, S.P., and Temnik, A.K., Identification of the substance of a test object using the dualenergy method, Russ. J. Nondestr. Test., 2013, vol. 49, no. 11, pp. 642–649.10.1134/S1061830913110053 ↗
6. Chen Xue Liang, Chen Li, Huo Mei Chun, Yang Li Rui, Dong Ming Wen, Kong Wei Wu, Yang XiaoYue, Xue Kai, Li Yong Qing, Li Guang Qing, and Zhao Lei, European Patent Office Appl. #2458408. MPKG01V 5/00. Dual-energy X-ray body scanning device and image processing method, Beijing Zhongdun Anmin Analysis Technology Co. Ltd., First Res of Ministry of Public Security of PRC no. 11167491, declared May 25, 2011, publ. May 30, 2012.
7. Gil, Y., Oh, Y., Cho, M., and Namkung, W., Radiography simulation on a single-shot dual-spectrum X-ray for cargo inspection system, Appl. Radiat. Isot., 2011, vol. 69, no. 2, pp. 389–393.10.1016/j.apradiso.2010.11.011 ↗
8. Osipov, S.P., Temnik, A.K., and Chakhlov, S.V., The effects of physical factors on the quality of the dual highenergy identification of the material of an inspected object, Russ. J. Nondestr. Test., 2014, vol. 50, no. 8, pp. 491–498.10.1134/S1061830914080075 ↗
9. Osipov, S.P., Udod, V.A., and Van, Ya., Identification of materials in X-Ray inspections of objects by the dualenergy method, Russ. J. Nondestr. Test., 2017, vol. 53, no. 8, pp. 568–587.10.1134/S1061830917080058 ↗
10. Spirin, D.O., Berdnikov, A.Ya., Markov, S.I., and Safonov, A.S., Optimization of the parameter of discrimination in the dual-energy method, Nauchno-Tekh. Vedom. St. Petersburg Gos. Univ. Fiz. Mat., 2011, no. 4 (134), pp. 171–176.
11. Ogorodnikov, S.A., Linac-based recognition of materials in radiation customs inspection, Cand. Sci. Dissertation, St. Petersburg, 2002.
12. Petrunin, V.I., Development of linac-based systems of customs and industrial radiation digital inspection of large-sized objects, Doctoral Dissertation, St. Petersburg, 2002.
13. Ishkhanov, B.S., Kurilik, A.S., Rudenko, D.S., Stopani, K.A., and Shvedunov, V.I., Multibeam method for determining atomic number, in Sb. Trud. VIII mezhvuzovskoi shkoly molodykh spetsialistov “Kontsentrirovannye potoki energii v kosmicheskoi tekhnike, elektronike, ekologii i meditsine” (Proc. VIII Interuniv. Sch. Young Spec. “Concentrated Energy Flows in Space Technology, Electronics, Ecology, and Medicine”), Moscow: Moscow State Univ., 2007, pp. 160–164.
14. Rebuffel, V. and Dinten, J.-M., Dual-energy X-ray imaging: benefits and limits, Insight, 2007, vol. 49, no. 10, pp. 589–594.10.1784/insi.2007.49.10.589 ↗
15. Gavrish, Yu.N., Berdnikov, Ya.A., Spirin, D.O., Perederii, A.N., Safonov, M.V., and Romanov, I.V., A software package for reconstructing introscopic images by the dual-energy method, Probl. At. Sci. Technol., Ser.: Nucl. Phys. Invest., 2010, no. 3(54), pp. 123–125.
16. Rogers, T.W., Jaccard, N., and Griffin, L.D., A deep learning framework for the automated inspection of complex x-ray cargo imagery, Anomaly Detect. Imaging X-Rays (ADIX) II. Int. Soc. Opt. Photonics, 2017, vol. 10187, article no. 101870L.10.1117/12.2262662 ↗
17. Udod, V.A., Osipov, S.P., and Wang, Y., The mathematical model of the image, generated by scanning digital radiography system, IOP Conf. Ser.: Mater. Sci. Eng., 2017, vol. 168, article no. 012042.10.1088/1757-899X/168/1/012042 ↗
18. Lebedev, M.B, Sidulenko, O.A., and Udod, V.A., Optimal selection of parameters of multichannel continuously scanning digital-radiography systems, Russ. J. Nondestr. Test., 2009, vol. 45, no. 10, pp. 711–727.10.1134/S1061830909100064 ↗
19. Junior, T.A.A., Nogueira, M.S., Vivolo, V., Potiens M.P.A., and Campos, L.L., Mass attenuation coefficients of X-rays in different barite concrete, Radiat. Phys. Chem., 2017, vol. 340, pp. 349–354.10.1016/j.radphyschem.2017.02.054 ↗
20. Ogorodnikov, S. and Petrunin, V., Processing of interlaced images in 4–10 MeV dual energy system for material recognition, Phys. Rev. Accel. Beams, 2002, vol. 5, no. 10, article no. 104701.
21. Ying, Zh., Naidu, R., Carl, R., and Crawford, C.R., Dual energy computed tomography for explosive detection, J. X-Ray Sci. Technol., 2006, vol. 14, pp. 235–256.
22. Lanier, R.G., Recent Developments in X-ray Imaging Technology, Lawrence Livermore Natl. Lab. (LLNL), Livermore, CA, 2012, no. LLNL-TR-587512. https://doi.org/e-reports-ext.llnl.gov/pdf/658363.pdf10.2172/1053658 ↗
23. Wang, X., Enhanced color encoding of materials discrimination information for multiple views dual energy x-ray imaging, Dissertation, Nottingham Trent Univ., 2009.
24. Evans, J.P.O., Stereoscopic imaging using folded linear dual-energy X-ray detectors, Meas. Sci. Technol., 2002, vol. 13, no. 9, article no. 1388.
25. Klyuev, V.V., Sosnin, F.R., Aerts, V., et al., Rentgenotekhnika. Spravochnik v 2 kn. Kn. 1 (X-Ray Engineering. A Reference Book. In 2 Books. Book 1), Klyuev, V.V., Ed., Moscow: Mashinostroenie, 1992, 2nd ed.
26. O’Hare, N., A study of the imaging of contrast agents for use in computerized tomography, Dissertation, Dublin City Univ., 1991.
27. Paziresh, M., Kingston, A.M., Latham, S.J., Fullagar, W.K., and Myers, G.M., Tomography of the atomic number and density of materials using dual-energy imaging and the Alvarez and Macovski attenuation model, J. Appl. Phys., 2016, vol. 119, no. 21, article no. 214901.
28. Kramers, H.A., XCIII. On the theory of X-ray absorption and the continuous X-ray spectrum, The London, Edinburgh, Dublin Philos. Mag. J. Sci., 1923, vol. 46, no. 275, pp. 836–871.10.1080/14786442308565244 ↗
29. Heo, S.H., Ihsan, A., and Cho, S.O., Transmission-type microfocus x-ray tube using carbon nanotube field emitters, Appl. Phys. Lett., 2007, vol. 90, no. 18, article no. 183109.
30. Sekimoto, M. and Katoh, Y., Derivation of total filtration thickness for diagnostic x-ray source assembly, Phys. Med. Biol., 2016, vol. 61, no. 16, article no. 6011.
31. Tucker, D.M., Barnes, G.T., and Chakraborty, D.P., Semiempirical model for generating tungsten target x-ray spectra, Med. Phys., 1991, vol. 18, no. 2, pp. 211–218.10.1118/1.596709 ↗
32. Evstrop’ev, K.S., Khimiya kremniya i fizicheskaya khimiya silikatov (Chemistry of Silicon and Physical Chemistry of Silicates), Moscow: Promstroiizdat, 1956.
33. Mashkovich, V.P., Zashchita ot ionkiziruyushchikh izluchenii. Spravochnik (Protection Against Ionizing Radiation. A Handbook), Moscow: Energoatomizdat, 1982, 3rd ed.
34. Iovea, M., Neagu, M., Duliu, O.G., Oaie, G., Szobotka, S., and Mateiasi, G., A dedicated on-board dualenergy computer tomograph, J. Nondestr. Eval., 2011, vol. 30, no. 3, pp. 164–171.10.1007/s10921-011-0104-x ↗
35. Alves, H., Lima, I., and Lopes, R.T., Methodology for attainment of density and effective atomic number through dual energy technique using microtomographic images, Appl. Radiat. Isot., 2014, vol. 89, pp. 6–12.10.1016/j.apradiso.2014.01.018 ↗
36. Shchetinkin, S.A., Chakhlov, S.V., and Usachev, E.Yu., Use the dual-energy digital radiography in portable X-ray television systems, Kontrol’. Diagn., 2006, no. 2, pp. 49–52.
37. Ustanovka TS-SKAN 6040 (TS-SKAN 6040 Installation). https://doi.org/tsnk.ru/equip/equip/introskopy/ts-scan6040/
38. X-ray Mass Attenuation Coefficients. https://doi.org/physics.nist.gov/PhysRefData/XrayMassCoef/tab3.html
39. Naidenov, S.V. and Ryzhikov, V.D., Determining chemical compositions by the method of multi-energy radiography, Tech. Phys. Lett., 2002, vol. 28, no. 9, pp. 357–360.10.1134/1.1482736 ↗
40. Ryzhikov, V.D., Opolonin, O.D., Galkin, S.M., Voronkin, Y.F., Lysetska, O.K., and Kostioukevitch, S.A., A multi-energy method of non-destructive testing by the determination of the effective atomic number of different materials, Proc. SPIE, 2010, vol. 7805, pp. 78051P/1-78051P/9.10.1117/12.858267 ↗