Moss, RM;
Wilson, MD;
Morton, EJ;
Speller, RD;
(2019)
Hybrid Angular- and Energy-Dispersive X-ray Diffraction Computed Tomography.
In:
2018 IEEE Nuclear Science Symposium and Medical Imaging Conference Proceedings (NSS/MIC).
IEEE: Sydney, Australia.
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Abstract
X-ray diffraction is a material-specific technique, the results of which can be used as a material fingerprint to identify unknowns. In this paper we present an adaptation to a novel hybrid angular- and energy-dispersive X-ray diffraction technique, which, until now, has been limited in utility by sample thickness. Computed tomography techniques have been applied to spatially resolve the origin of the scattering signals and to reconstruct the diffraction pattern in each pixel. 2D cross-correlation has been used to compare the reconstructed data to a library of standards as a means of identifying the material present.
| Type: | Proceedings paper |
|---|---|
| Title: | Hybrid Angular- and Energy-Dispersive X-ray Diffraction Computed Tomography |
| Event: | 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) |
| ISBN-13: | 9781538684948 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/NSSMIC.2018.8824760 |
| Publisher version: | https://doi.org/10.1109/NSSMIC.2018.8824760 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10084708 |
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