Dataset for \"Identification of common minerals using stoichiometric calibration method for dual-energy CT\"

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.

医用X射线计算机断层扫描（CT）可快速、无损地表征地质样品的结构与密度差异。采用多光谱方法可获取更多关于样品本质的信息，如电子密度与元素组成。本文针对其中一种方法——用于双能成像的化学计量校准方法——展开研究，以识别最常见的矿物。研究选取了18种校准材料，以覆盖地质样品中常见的有效原子序数（Zeff）与电子密度（ρe）的变化范围。本校准方法的验证过程通过分析23种常见矿物完成：对各自的Zeff与ρe进行映射，以找出性质最接近的矿物。尽管并非所有矿物都能被准确识别，但本研究表明，该化学计量校准方法可正确识别出单能成像法无法区分的最重要且最常见的三类矿物：石英、方解石与白云石。本研究证明，此前专为医学场景开发的该方法，在地球科学领域同样具备有效性。