Abstract: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 … Show more
“…However, previous results on iron-oxide ores show the reliability of the used methods [6]. Furthermore, all methods show similar trends for the medium-Z fraction.…”
Section: Discussionmentioning
confidence: 55%
“…The 3D reconstructions of the five rock samples were processed to obtain characteristic information such as the size and number of internal fractions [6,14]. To reduce noise, a 5 × 5 × 5 median filter (ball mask) was applied to the 3D data.…”
Section: Image Processingmentioning
confidence: 99%
“…The obtainable information is thus limited. Dual energy (DE) and multi energy (ME) XRT use the material and energy dependence of X-ray attenuation to gain additional knowledge on the chemical composition of the samples [6].…”
Section: Introductionmentioning
confidence: 99%
“…While measurement and reconstruction are more time consuming than XRT, the method allows us to investigate the internal sample structure by virtually slicing the sample in any arbitrary direction. In this way, the local variation of minerals can be visualized [6].…”
X-ray transmission (XRT) and computed tomography (CT) was used on five samples from the Niaz porphyry Cu–Mo deposit in Iran, representing different alteration zones. Analysis of three-dimensional CT data revealed structural information and groups of elements with low, medium and high attenuation, which were assigned to minerals previously determined by scanning electron microscopy. Thus, the mineralization can be located, and the metal/waste ratio can be estimated, leading to more precise ore body modelling and process parameter determination. CT is useful for selected samples as it is time consuming. XRT can be used as real-time process on conveyor belts.
“…However, previous results on iron-oxide ores show the reliability of the used methods [6]. Furthermore, all methods show similar trends for the medium-Z fraction.…”
Section: Discussionmentioning
confidence: 55%
“…The 3D reconstructions of the five rock samples were processed to obtain characteristic information such as the size and number of internal fractions [6,14]. To reduce noise, a 5 × 5 × 5 median filter (ball mask) was applied to the 3D data.…”
Section: Image Processingmentioning
confidence: 99%
“…The obtainable information is thus limited. Dual energy (DE) and multi energy (ME) XRT use the material and energy dependence of X-ray attenuation to gain additional knowledge on the chemical composition of the samples [6].…”
Section: Introductionmentioning
confidence: 99%
“…While measurement and reconstruction are more time consuming than XRT, the method allows us to investigate the internal sample structure by virtually slicing the sample in any arbitrary direction. In this way, the local variation of minerals can be visualized [6].…”
X-ray transmission (XRT) and computed tomography (CT) was used on five samples from the Niaz porphyry Cu–Mo deposit in Iran, representing different alteration zones. Analysis of three-dimensional CT data revealed structural information and groups of elements with low, medium and high attenuation, which were assigned to minerals previously determined by scanning electron microscopy. Thus, the mineralization can be located, and the metal/waste ratio can be estimated, leading to more precise ore body modelling and process parameter determination. CT is useful for selected samples as it is time consuming. XRT can be used as real-time process on conveyor belts.
“…The 3D microstructure of samples can be segmented into regions with similar grey-values (e.g., mineral or group of minerals) for analyses and quantification [12]. For example, volume, grain sizes, surface area, spatial distribution and associations of individual particles or phases can be quantified [14][15][16][17][18][19][20]. Despite the advantages of measuring 3D microstructures, classifying the phases composing those microstructures based on grey-values remains challenging due to imaging artefacts [21,22] that cause a broadening of the grey-scale interval that can be attributed to a phase [23,24].…”
This paper demonstrates a new method to classify mineral phases in 3D images of particulate materials obtained by x-ray computed micro-tomography (CT), here named mounted single particle characterization for 3D mineralogical analysis (MSPaCMAn). The method allows minimizing the impact of imaging artefacts that make the classification of voxels inaccurate and thus hinder the use of CT to characterize natural particulate materials. MSPaCMAn consists of (1) sample preparation as particle dispersions; (2) image processing optimized towards the labelling of individual particles in the sample; (3) phase identification performed at the particle level using an interpretation of the grey-values of all voxels in a particle rather than of all voxels in the sample. Additionally, the particle’s geometry and microstructure can be used as classification criteria besides the grey-values. The result is an improved accuracy of phase classification, a higher number of detected phases, a smaller grain size that can be detected, and individual particle statistics can be measured instead of just bulk statistics. Consequently, the method broadens the applicability of 3D imaging techniques for particle analysis at low particle size to voxel size ratio, which is typically limited due to unreliable phase classification and quantification. MSPaCMAn could be the foundation of 3D semi-automated mineralogy similar to the commonly used 2D image-based semi-automated mineralogy methods.
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