Spectral X-ray computed micro tomography: 3-dimensional chemical imaging

Publication date

2021-03-01

Authors

Sittner, Jonathan
Godinho, Jose R. A.
Renno, Axel D.
Cnudde, VeerleORCID 0000-0002-3269-5914ISNI 0000000351067873
Boone, Marijn
De Schryver, Thomas
Van Loo, Denis
Merkulova, Margarita
Roine, Antti
Liipo, Jussi

Editors

Advisors

Supervisors

Document Type

Article
Open Access logo

License

cc_by_nc

Abstract

We present a new approach to 3-dimensional chemical imaging based on X-ray computed micro tomography (CT), which enables the analysis of the internal elemental chemistry. The method uses a conventional laboratory-based CT scanner equipped with a semiconductor detector (CdTe). Based on the X-ray absorption spectra, elements in a sample can be distinguished by their specific K-edge energy. The capabilities and performance of this new approach are illustrated with different experiments, i.e. single pure element particle measurements, element differentiation in mixtures, and mineral differentiation in a natural rock sample. The results show that the method can distinguish elements with K-edges in the range of 20 to 160 keV, this corresponds to an element range from Ag to U. Furthermore, the spectral information allows a distinction between materials, which show little variation in contrast in the reconstructed CT image.

Keywords

3D imaging, CT, mineral classification, photon-counting detector, spectral X-ray tomography, Spectroscopy

Citation

Sittner, J, Godinho, J R A, Renno, A D, Cnudde, V, Boone, M, De Schryver, T, Van Loo, D, Merkulova, M, Roine, A & Liipo, J 2021, 'Spectral X-ray computed micro tomography : 3-dimensional chemical imaging', X-Ray Spectrometry, vol. 50, no. 2, pp. 92-105. https://doi.org/10.1002/xrs.3200