The platform will undergo maintenance on Sep 14 at about 7:45 AM EST and will be unavailable for approximately 2 hours.
2021
DOI: 10.3390/s21072455
|View full text |Cite
|
Sign up to set email alerts
|

Potential of Dual and Multi Energy XRT and CT Analyses on Iron Formations

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

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
19
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
4
3

Relationship

1
6

Authors

Journals

citations
Cited by 13 publications
(20 citation statements)
references
References 33 publications
0
19
0
Order By: Relevance
“…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%
See 3 more Smart Citations
“…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%
See 2 more Smart Citations
“…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].…”
Section: Introductionmentioning
confidence: 99%