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Potential of Dual and Multi Energy XRT and CT Analyses on Iron Formations
Dual and multi energy X-ray transmission imaging (DE-/ME-XRT) are powerful tools to acquire quantitative material characteristics of diverse samples without destruction. As those X-ray imaging techniques are based on the projection onto the imaging plane, only two-dimensional data can be obtained. T...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8037409/ https://www.ncbi.nlm.nih.gov/pubmed/33918163 http://dx.doi.org/10.3390/s21072455 |
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author | Bauer, Christine Wagner, Rebecca Orberger, Beate Firsching, Markus Ennen, Alexander Garcia Pina, Carlos Wagner, Christiane Honarmand, Maryam Nabatian, Ghasem Monsef, Iman |
author_facet | Bauer, Christine Wagner, Rebecca Orberger, Beate Firsching, Markus Ennen, Alexander Garcia Pina, Carlos Wagner, Christiane Honarmand, Maryam Nabatian, Ghasem Monsef, Iman |
author_sort | Bauer, Christine |
collection | PubMed |
description | Dual and multi energy X-ray transmission imaging (DE-/ME-XRT) are powerful tools to acquire quantitative material characteristics of diverse samples without destruction. As those X-ray imaging techniques are based on the projection onto the imaging plane, only two-dimensional data can be obtained. To acquire three-dimensional information and a complete examination on topology and spatial trends of materials, computed tomography (CT) can be used. In combination, these methods may offer a robust non-destructive testing technique for research and industrial applications. For example, the iron ore mining and processing industry requires the ratio of economic iron minerals to siliceous waste material for resource and reserve estimations, and for efficient sorting prior to beneficiation, to avoid equipment destruction due to highly abrasive quartz. While XRT provides information concerning the thickness, areal density and mass fraction of iron and the respective background material, CT may deliver size, distribution and orientation of internal structures. Our study shows that the data provided by XRT and CT is reliable and, together with data processing, can be successfully applied for distinguishing iron oxide rich parts from waste. Furthermore, heavy element bearing minerals such as baryte, uraninite, galena and monazite can be detected. |
format | Online Article Text |
id | pubmed-8037409 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-80374092021-04-12 Potential of Dual and Multi Energy XRT and CT Analyses on Iron Formations Bauer, Christine Wagner, Rebecca Orberger, Beate Firsching, Markus Ennen, Alexander Garcia Pina, Carlos Wagner, Christiane Honarmand, Maryam Nabatian, Ghasem Monsef, Iman Sensors (Basel) Article Dual and multi energy X-ray transmission imaging (DE-/ME-XRT) are powerful tools to acquire quantitative material characteristics of diverse samples without destruction. As those X-ray imaging techniques are based on the projection onto the imaging plane, only two-dimensional data can be obtained. To acquire three-dimensional information and a complete examination on topology and spatial trends of materials, computed tomography (CT) can be used. In combination, these methods may offer a robust non-destructive testing technique for research and industrial applications. For example, the iron ore mining and processing industry requires the ratio of economic iron minerals to siliceous waste material for resource and reserve estimations, and for efficient sorting prior to beneficiation, to avoid equipment destruction due to highly abrasive quartz. While XRT provides information concerning the thickness, areal density and mass fraction of iron and the respective background material, CT may deliver size, distribution and orientation of internal structures. Our study shows that the data provided by XRT and CT is reliable and, together with data processing, can be successfully applied for distinguishing iron oxide rich parts from waste. Furthermore, heavy element bearing minerals such as baryte, uraninite, galena and monazite can be detected. MDPI 2021-04-02 /pmc/articles/PMC8037409/ /pubmed/33918163 http://dx.doi.org/10.3390/s21072455 Text en © 2021 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 Bauer, Christine Wagner, Rebecca Orberger, Beate Firsching, Markus Ennen, Alexander Garcia Pina, Carlos Wagner, Christiane Honarmand, Maryam Nabatian, Ghasem Monsef, Iman Potential of Dual and Multi Energy XRT and CT Analyses on Iron Formations |
title | Potential of Dual and Multi Energy XRT and CT Analyses on Iron Formations |
title_full | Potential of Dual and Multi Energy XRT and CT Analyses on Iron Formations |
title_fullStr | Potential of Dual and Multi Energy XRT and CT Analyses on Iron Formations |
title_full_unstemmed | Potential of Dual and Multi Energy XRT and CT Analyses on Iron Formations |
title_short | Potential of Dual and Multi Energy XRT and CT Analyses on Iron Formations |
title_sort | potential of dual and multi energy xrt and ct analyses on iron formations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8037409/ https://www.ncbi.nlm.nih.gov/pubmed/33918163 http://dx.doi.org/10.3390/s21072455 |
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