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Crystal Analyzer Based Multispectral Microtomography Using CCD-Sensor

To solve the problems of spectral tomography, an X-ray optical scheme was proposed, using a crystal analyzer in Laue geometry between the sample and the detector, which allowed for the selection of predetermined pairs of wavelengths from the incident polychromatic radiation to obtain projection imag...

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Autores principales: Grigoriev, Maxim, Zolotov, Denis, Ingacheva, Anastasia, Buzmakov, Alexey, Dyachkova, Irina, Asadchikov, Victor, Chukalina, Marina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10386214/
https://www.ncbi.nlm.nih.gov/pubmed/37514683
http://dx.doi.org/10.3390/s23146389
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author Grigoriev, Maxim
Zolotov, Denis
Ingacheva, Anastasia
Buzmakov, Alexey
Dyachkova, Irina
Asadchikov, Victor
Chukalina, Marina
author_facet Grigoriev, Maxim
Zolotov, Denis
Ingacheva, Anastasia
Buzmakov, Alexey
Dyachkova, Irina
Asadchikov, Victor
Chukalina, Marina
author_sort Grigoriev, Maxim
collection PubMed
description To solve the problems of spectral tomography, an X-ray optical scheme was proposed, using a crystal analyzer in Laue geometry between the sample and the detector, which allowed for the selection of predetermined pairs of wavelengths from the incident polychromatic radiation to obtain projection images. On a laboratory X-ray microtomography setup, an experiment was carried out for the first time where a mixture of micro-granules of sodium chloride NaCl, silver behenate AgC(22)H(43)O(2), and lithium niobate LiNbO(3) was used as a test sample to identify their spatial arrangement. The elements were chosen based on the presence of absorption edges in two of the elements in the energy range of the polychromatic spectrum of the probing radiation. The method of projection distortion correction was used to preprocess the obtained projections. To interpret the obtained reconstruction results, the segmentation method based on the analysis of joint histograms was used. This allowed us to identify each of the three substances. To compare the results obtained, additional “reference” tomographic measurements were performed: one in polychromatic and two in monochromatic (MoK(α)-, MoK(β)-lines) modes. It took three times less time for the tomographic experiment with the crystal analyzer, while the reconstruction accuracy was comparable to that of the “reference” tomography.
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spelling pubmed-103862142023-07-30 Crystal Analyzer Based Multispectral Microtomography Using CCD-Sensor Grigoriev, Maxim Zolotov, Denis Ingacheva, Anastasia Buzmakov, Alexey Dyachkova, Irina Asadchikov, Victor Chukalina, Marina Sensors (Basel) Article To solve the problems of spectral tomography, an X-ray optical scheme was proposed, using a crystal analyzer in Laue geometry between the sample and the detector, which allowed for the selection of predetermined pairs of wavelengths from the incident polychromatic radiation to obtain projection images. On a laboratory X-ray microtomography setup, an experiment was carried out for the first time where a mixture of micro-granules of sodium chloride NaCl, silver behenate AgC(22)H(43)O(2), and lithium niobate LiNbO(3) was used as a test sample to identify their spatial arrangement. The elements were chosen based on the presence of absorption edges in two of the elements in the energy range of the polychromatic spectrum of the probing radiation. The method of projection distortion correction was used to preprocess the obtained projections. To interpret the obtained reconstruction results, the segmentation method based on the analysis of joint histograms was used. This allowed us to identify each of the three substances. To compare the results obtained, additional “reference” tomographic measurements were performed: one in polychromatic and two in monochromatic (MoK(α)-, MoK(β)-lines) modes. It took three times less time for the tomographic experiment with the crystal analyzer, while the reconstruction accuracy was comparable to that of the “reference” tomography. MDPI 2023-07-14 /pmc/articles/PMC10386214/ /pubmed/37514683 http://dx.doi.org/10.3390/s23146389 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Grigoriev, Maxim
Zolotov, Denis
Ingacheva, Anastasia
Buzmakov, Alexey
Dyachkova, Irina
Asadchikov, Victor
Chukalina, Marina
Crystal Analyzer Based Multispectral Microtomography Using CCD-Sensor
title Crystal Analyzer Based Multispectral Microtomography Using CCD-Sensor
title_full Crystal Analyzer Based Multispectral Microtomography Using CCD-Sensor
title_fullStr Crystal Analyzer Based Multispectral Microtomography Using CCD-Sensor
title_full_unstemmed Crystal Analyzer Based Multispectral Microtomography Using CCD-Sensor
title_short Crystal Analyzer Based Multispectral Microtomography Using CCD-Sensor
title_sort crystal analyzer based multispectral microtomography using ccd-sensor
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10386214/
https://www.ncbi.nlm.nih.gov/pubmed/37514683
http://dx.doi.org/10.3390/s23146389
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