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Article

Spectral Tomography for 3D Element Detection and Mineral Analysis

1
Helmholtz Institute Freiberg for Resource Technology, Helmholtz-Zentrum Dresden-Rossendorf, Chemnitzer Straße 40, 09599 Freiberg, Germany
2
TESCAN XRE, Bollebergen 2B Box 1, 9052 Ghent, Belgium
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Author to whom correspondence should be addressed.
Academic Editors: Daniel Sbarbaro, Eduardo Balladares and Jorge Yañez
Minerals 2021, 11(6), 598; https://doi.org/10.3390/min11060598
Received: 8 April 2021 / Revised: 21 May 2021 / Accepted: 25 May 2021 / Published: 1 June 2021
This paper demonstrates the potential of a new 3D imaging technique, Spectral Computed Tomography (sp-CT), to identify heavy elements inside materials, which can be used to classify mineral phases. The method combines the total X-ray transmission measured by a normal polychromatic X-ray detector, and the transmitted X-ray energy spectrum measured by a detector that discriminates between X-rays with energies of about 1.1 keV resolution. An analysis of the energy spectrum allows to identify sudden changes of transmission at K-edge energies that are specific of each element. The additional information about the elements in a phase improves the classification of mineral phases from grey-scale 3D images that would be otherwise difficult due to artefacts or the lack of contrast between phases. The ability to identify the elements inside the minerals that compose ore particles and rocks is crucial to broaden the application of 3D imaging in Earth sciences research and mineral process engineering, which will represent an important complement to traditional 2D imaging mineral characterization methods. In this paper, the first applications of sp-CT to classify mineral phases are showcased and the limitations and further developments are discussed. View Full-Text
Keywords: spectral tomography; sp-CT; computed tomography; 3D mineral classification; minerals engineering; X-ray imaging; geometallurgy spectral tomography; sp-CT; computed tomography; 3D mineral classification; minerals engineering; X-ray imaging; geometallurgy
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MDPI and ACS Style

Godinho, J.R.A.; Westaway-Heaven, G.; Boone, M.A.; Renno, A.D. Spectral Tomography for 3D Element Detection and Mineral Analysis. Minerals 2021, 11, 598. https://doi.org/10.3390/min11060598

AMA Style

Godinho JRA, Westaway-Heaven G, Boone MA, Renno AD. Spectral Tomography for 3D Element Detection and Mineral Analysis. Minerals. 2021; 11(6):598. https://doi.org/10.3390/min11060598

Chicago/Turabian Style

Godinho, Jose R.A., Gabriel Westaway-Heaven, Marijn A. Boone, and Axel D. Renno 2021. "Spectral Tomography for 3D Element Detection and Mineral Analysis" Minerals 11, no. 6: 598. https://doi.org/10.3390/min11060598

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