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Extrapolation of tomographic images based on data of multiple pulsed probing
I. P. Yarovenko, P. A. Vornovskikh, I. V. Prokhorov Institute of Applied Mathematics, Far East Branch, Russian Academy of Sciences, Vladivostok, 690041 Russia
Abstract:
This paper proposes a new approach to improving image quality in pulsed X-ray tomography. The method is based on establishing a functional dependence of the reconstructed images on the duration of the probing pulses and applying an extrapolation procedure. The numerical experiments demonstrated that the developed algorithm effectively suppresses the influence of scattered radiation and significantly increases image contrast. The proposed alternative approach allows substantially increasing the stability of the method even for media containing strong scattering inhomogeneities and with a significant level of noise in the projection data. In addition, the algorithm has greater stability to errors in the source data caused by an increase in the duration of the probing pulses. The numerical experiments confirmed the high efficiency of the extrapolation tomography algorithm for recovering the internal structure of the test object.
Keywords:
impulse tomography, nonstationary radiation transfer equation, inverse problem, attenuation coefficient.
Received: 14.01.2024 Revised: 02.05.2024 Accepted: 22.05.2024
Citation:
I. P. Yarovenko, P. A. Vornovskikh, I. V. Prokhorov, “Extrapolation of tomographic images based on data of multiple pulsed probing”, Sib. Zh. Ind. Mat., 27:3 (2024), 177–195; J. Appl. Industr. Math., 18:3 (2024), 583–597
Linking options:
https://www.mathnet.ru/eng/sjim1298 https://www.mathnet.ru/eng/sjim/v27/i3/p177
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Abstract page: | 49 | Full-text PDF : | 6 | References: | 12 | First page: | 2 |
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