Description:
Medical X-ray computed tomography (CT) can be used to rapidly and non-destructively characterize structure and density variations of geological specimens. More information about the nature of samples (electron density and elemental composition) can be retrieved using multi-spectral approaches. This paper explores one of them, a stoichiometric calibration method for dual-energy imaging, to identify the most common minerals. A set of 18 calibrating materials was selected to cover a range of variability in effective atomic number (Zeff) and electron density (ρe) encountered in geological specimens.
The validation of this calibration was performed analyzing 23 common minerals by mapping their respective Zeff and ρe in order to identify the one with the closest properties. While all minerals are not correctly determined, our study shows that the stoichiometric method correctly identifies the most important and common ones (quartz, calcite, dolomite) that are not distinguishable using a single energy imaging method. We show that this method previously elaborated for medical purposes is also efficient in earth science.
Dépôt source:
Dataverse de l'Institut national de la recherche scientifique
Series:
Dataverse de Pierre Francus
Accès:
Public
URL:
https://doi.org/10.5683/SP2/P4IY8Y
Date de publication:
2021-08-19
Sujets (en):