Inner product regularized multi-energy X-ray tomography for material decomposition
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arXiv
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| Main Authors: | , , , , , , |
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| Format: | Preprint |
| Published: |
2023
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| _version_ | 1866910793138700288 |
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| author | Latva-Äijö, Salla-Maaria Zanetti, Filippo Honkanen, Ari-Pekka Huotari, Simo Gondzio, Jacek Lassas, Matti Siltanen, Samuli |
| author_facet | Latva-Äijö, Salla-Maaria Zanetti, Filippo Honkanen, Ari-Pekka Huotari, Simo Gondzio, Jacek Lassas, Matti Siltanen, Samuli |
| contents | Multi-energy X-ray tomography is studied for decomposing three materials using three X-ray energies and a classical energy-integrating detector. A novel regularization term comprises inner products between the material distribution functions, penalizing any overlap of different materials. The method is tested on real data measured of a phantom embedded with Na$_2$SeO$_3$, Na$_2$SeO$_4$, and elemental selenium. It is found that the two-dimensional distributions of selenium in different oxidation states can be mapped and distinguished from each other with the new algorithm. The results have applications in material science, chemistry, biology and medicine. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2309_04479 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Inner product regularized multi-energy X-ray tomography for material decomposition Latva-Äijö, Salla-Maaria Zanetti, Filippo Honkanen, Ari-Pekka Huotari, Simo Gondzio, Jacek Lassas, Matti Siltanen, Samuli Materials Science Biological Physics Multi-energy X-ray tomography is studied for decomposing three materials using three X-ray energies and a classical energy-integrating detector. A novel regularization term comprises inner products between the material distribution functions, penalizing any overlap of different materials. The method is tested on real data measured of a phantom embedded with Na$_2$SeO$_3$, Na$_2$SeO$_4$, and elemental selenium. It is found that the two-dimensional distributions of selenium in different oxidation states can be mapped and distinguished from each other with the new algorithm. The results have applications in material science, chemistry, biology and medicine. |
| title | Inner product regularized multi-energy X-ray tomography for material decomposition |
| topic | Materials Science Biological Physics |
| url | https://arxiv.org/abs/2309.04479 |