ArticleSensors (Basel, Switzerland)2024
Simplified Beam Hardening Correction for Ultrafast X-ray CT Imaging of Binary Granular Mixtures.
Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Effect of filling degree on particle segregation in a rotating drum - an experimental and numerical study.Scientific reports · 2026Article
- Metallic Artifacts' Reduction in Microtomography Using the Bone- and Soft-Tissue Decomposition Method.Sensors (Basel, Switzerland) · 2024Article
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Authors and funding
7 authors.
Funding
Abstract
Ultrafast X-ray computed tomography is an advanced imaging technique for multiphase flows. It has been used with great success for studying gas-liquid as well as gas-solid flows. Here, we apply this technique to analyze density-driven particle segregation in a rotating drum as an exemplary use case for analyzing industrial particle mixing systems. As glass particles are used as the denser of two granular species to be mixed, beam hardening artefacts occur and hamper the data analysis. In the general case of a distribution of arbitrary materials, the inverse problem of image reconstruction with energy-dependent attenuation is often ill-posed. Consequently, commonly known beam hardening correction algorithms are often quite complex. In our case, however, the number of materials is limited. We therefore propose a correction algorithm simplified by taking advantage of the known material properties, and demonstrate its ability to improve image quality and subsequent analyses significantly.
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