| Autor: |
Pankhurst, Matthew, Fowler, R., Courtois, Loic, Nonni, Sara, Zuddas, Francesco, Davis, G. R., Lee, Peter |
| Jazyk: |
angličtina |
| Rok vydání: |
2018 |
| Předmět: |
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| Zdroj: |
Pankhurst, M, Fowler, R, Courtois, L, Nonni, S, Zuddas, F, Davis, G R & Lee, P 2018, ' Enabling three-dimensional densitometric measurements using laboratory source X-ray micro-computed 4 tomography. ', SoftwareX . https://doi.org/10.1016/j.softx.2018.03.004 |
| Popis: |
We present new software allowing significantly improved quantitative mapping of the three-dimensional density distribution of objects using laboratory source polychromatic X-rays via a beam characterisation approach (c.f. filtering or comparison to phantoms). One key advantage is that a precise representation of the specimen material is not required. The method exploits well-established, widely available, non-destructive and increasingly accessible laboratory-source X-ray tomography. Beam characterisation is performed in two stages: (1) projection data are collected through a range of known materials utilising a novel hardware design integrated into the rotation stage; and (2) a Python code optimises a spectral response model of the system. We provide hardware designs for use with a rotation stage able to be tilted, yet the concept is easily adaptable to virtually any laboratory system and sample, and implicitly corrects the image artefact known as beam hardening. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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