Optimization algorithm for sandwich detectors of x-ray radiation
- Авторлар: Udod V.1, Osipov S.2, Nazarenko S.2
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Мекемелер:
- Tomsk State University
- Tomsk Polytechnic University
- Шығарылым: № 3 (2023)
- Беттер: 44-58
- Бөлім: Articles
- URL: https://journals.rcsi.science/0130-3082/article/view/144338
- DOI: https://doi.org/10.31857/S0130308223030041
- EDN: https://elibrary.ru/OPADUK
- ID: 144338
Дәйексөз келтіру
Аннотация
Приводится описание алгоритма оптимизации параметров сэндвич-детекторов рентгеновского излучения применительно к распознаванию материалов методом дуальных энергий. Применение алгоритма проиллюстрировано на конкретном примере, где были получены значения толщин первого детектора и промежуточного фильтра (входящих в состав сэндвич-детектора), которые для заданных материалов первого детектора (CsI) и промежуточного фильтра (Cu) являются оптимальными при распознавании взрывчатых веществ.
Авторлар туралы
V. Udod
Tomsk State University
Email: pr.udod@mail.ru
Tomsk, Russia
S. Osipov
Tomsk Polytechnic University
Email: osip1809@rambler.ru
Tomsk, Russia
S. Nazarenko
Tomsk Polytechnic University
Email: svetanaz@mail.ru
Tomsk, Russia
Әдебиет тізімі
- Khan S.U., Khan I.U., Ullah I., Saif N., Ullah I. A review of airport dual energy X-ray baggage inspection techniques: image enhancement and noise reduction // Journal of X-ray Science and Technology. 2020. V. 28. No. 3. P. 481-505. https://doi.org/10.3233/XST-200663
- Yalçın O., Reyhancan I.A. Detection of explosive materials in dual-energy X-Ray security systems // Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 2022. V. 1040. Article ID 167265. https://doi.org/10.1016/j.nima.2022.167265
- Chang C.H., Ni Y.C., Tseng S.P. Calculation of effective atomic numbers using a rational polynomial approximation method with a dual-energy X-ray // Journal of X-Ray Science and Technology. 2021. V. 29. No. 2. P. 317-330. https://doi.org/10.3233/xst-200790
- Yim C.W., Hong S.G. A MCNP simulation for a new dual-energy dual-beam X-ray inspection method using multi-angle compton scattering to determine the effective atomic number of explosives // Radiation Physics and Chemistry. 2022. V. 195. Article ID 110084. https://doi.org/10.1016/j.radphyschem.2022.110084
- Duvillier J., Dierick M., Dhaene J., Van Loo D., Masschaele B., Geurts R., Hoorebeke L.V., Boone M.N. Inline multi-material identification via dual energy radiographic measurements // NDT & E International. 2018. V. 94. P. 120-125. https://doi.org/10.1016/j.ndteint.2018.01.002
- Cordova A. Technologies for primary screening in aviation security //Journal of Transportation Security. 2022. V. 15. No. 3-4. P. 141-159. https://doi.org/10.1007/s12198-022-00248-8
- Linardatos D., Koukou V., Martini N., Konstantinidis A., Bakas A., Fountos G., Valais I., Michail C. On the response of a micro non-destructive testing X-ray detector // Materials. 2021. 14. P. 888. https://doi.org/10.3390/ma14040888
- Vukadinovic D., Anderson D. X-ray baggage screening and AI, EUR 31123 EN, Publications Office of the European Union, Luxembourg, 2022. http://dx.doi.org/10.2760/46363
- Osipov S.P., Udod V.A., Wang Y. Identification of materials in X-Ray inspections of objects by the dual-energy method // Russian Journal of Nondestructive Testing. 2017. V. 53. No. 8. P. 568-587. https://doi.org/10.1134/S1061830917080058
- Осипов С.П., Удод В.А., Ван Я. Распознавание материалов методом дуальных энергий при радиационном контроле объектов //Дефектоскопия. 2017. № 8. С. 33-56.
- Kayalvizhi R., Malarvizhi S., Topkar A., Vijayakumar P. Raw data processing techniques for material classification of objects in dual energy X-ray baggage inspection systems // Radiation Physics and Chemistry. 2022. V. 193. Article ID 109512. https://doi.org/10.1016/j.radphyschem.2021.109512
- Mamchur D., Peksa J., Le Clainche S., Vinuesa R. Application and advances in radiographic and novel technologies used for non-intrusive object inspection // Sensors. 2022. V. 22. No. 6. Article ID 2121. https://doi.org/10.3390/s22062121
- Busi M., Kehres J., Khalil M., Olsen U.L. Effective atomic number and electron density determination using spectral x-ray CT // Anomaly Detection and Imaging with X-rays (ADIX) IV. SPIE. 2019. V. 10999. P. 7-17. https://doi.org/10.1117/12.2519851
- Jumanazarov D., Koo J., Busi M., Poulsen H.F., Olsen U.L., Iovea M. System-independent material classification through X-ray attenuation decomposition from spectral X-ray CT // NDT & E International. 2020. V. 116. P. 102336. https://doi.org/10.1016/j.ndteint.2020.102336
- Iovea M., Neagu M., Duliu O.G., Oaie G., Szobotka S., Mateiasi G. A Dedicated on-board dual-energy computer tomograph //j. Nondestruct Eval. 2011. V. 30. P. 164-171. https://doi.org/10.1007/s10921-011-0104-x
- Smith R.C., Connelly J.M. CT technologies // Counterterrorist Detection Techniques of Explosives. Elsevier, 2022. P. 29-45. https://doi.org/10.1016/B978-0-444-64104-5.00009-6
- Alvarez R.E. Invertibility of the dual energy x-ray data transform // Medical Physics. 2019. V. 46. No. 1. P. 93-103. https://doi.org/10.1002/mp.13255
- Osipov S., Chakhlov S., Udod V., Usachev E., Schetinkin S., Kamysheva E. Estimation of the effective mass thickness and effective atomic number of the test object material by the dual energy method // Radiation Physics and Chemistry. 2020. V. 168. Article ID 108543. https://doi.org/10.1016/j.radphyschem.2019.108543
- Zhang Y., Kong W., Li D., Liu X. On using XMC R-CNN model for contraband detection within X-ray baggage security images // Mathematical Problems in Engineering. 2020. V. 2020. Article ID 1823034. https://doi.org/10.1155/2020/1823034
- Alvarez R.E. Analytic models for spectral x-ray imaging. 2019. Preprint. http://dx.doi.org/10.13140/RG.2.2.12391.09128
- Fredenberg E. Spectral and dual-energy X-ray imaging for medical applications // Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 2018. V. 878. Р. 74-87. https://doi.org/10.1016/j.nima.2017.07.044
- Zhao S., Pan H., Zhang W., Xia D., Zhao X. An oblique projection modification technique (OPMT) for fast multispectral CT reconstruction // Physics in Medicine & Biology. 2021. V. 66. No. 6. Article ID 065003. https://doi.org/10.1088/1361-6560/abe028
- Udod V.A., Osipov S.P., Nazarenko S.Yu. Algorithm for Evaluating Errors in Recognition of Materials in X-Ray Testing System Containing X-Ray Sandwich Detectors // Russian Journal of Nondestructive Testing. 2022. V. 58. No. 1. P. 46-56. https://doi.org/10.1134/S1061830922010065
- Удод В.А., Осипов С.П., Назаренко С.Ю. Алгоритм оценки погрешностей при распознавании материалов в системе рентгеновского контроля, содержащей сэндвич-детекторы излучения //Дефектоскопия. 2022. № 1. С. 40-51.
- Udod V.A., Vorobeichikov S.E., Nazarenko S.Y. Mathematical models of radiation transparency of test objects when using sandwich X-ray radiation detectors // Russian Journal of Nondestructive Testing. 2020. V. 56. No. 2. P. 161-170. https://doi.org/10.1134/S1061830920020096
- Удод В.А., Воробейчиков С.Э., Назаренко С.Ю. Математические модели радиационных прозрачностей объекта контроля при использовании сэндвич-детекторов рентгеновского излучения //Дефектоскопия. 2020. № 2. С. 31-41.
- Udod V.A., Osipov S.P., Wang Y. Estimating the influence of quantum noises on the quality of material identification by the dual-energy method // Russian Journal of Nondestructive Testing. 2018. V. 54. No. 8. P. 585-600. https://doi.org/10.1134/S1061830918080077
- Удод В.А., Осипов С.П., Ван Я. Оценка влияния квантовых шумов на качество распознавания материалов методом дуальных энергий //Дефектоскопия. 2018. № 8. С. 50-65.
- Slavashevich I., Pozdnyakov D., Kasiuk D., Linev V. Optimization of physico-topological parameters of dual energy X-ray // Engineering of Scintillation Materials and Radiation Technologies: Selected Articles of ISMART2018. 2019. V. 227. P. 262. https://doi.org/10.1007/978-3-030-21970-3_19
- Liang K.J., Sigman J.B., Spell G.P., Strellis D., Chang W., Liu F., Mehta T., Carin L. Toward automatic threat recognition for airport X-ray baggage screening with deep convolutional object detection // arXiv preprint arXiv:1912.06329. 2019. https://doi.org/10.48550/arXiv.1912.06329