Surrogate distributed radiological sources III: quantitative distributed source reconstructions
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arXiv
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| Autori principali: | , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
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| _version_ | 1866910270921637888 |
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| author | Vavrek, Jayson R. Lee, Jaewon Salathe, Marco Bandstra, Mark S. Hellfeld, Daniel Quiter, Brian J. Joshi, Tenzing H. Y. |
| author_facet | Vavrek, Jayson R. Lee, Jaewon Salathe, Marco Bandstra, Mark S. Hellfeld, Daniel Quiter, Brian J. Joshi, Tenzing H. Y. |
| contents | In this third part of a multi-paper series, we present quantitative image reconstruction results from aerial measurements of eight different surrogate distributed gamma-ray sources on flat terrain. We show that our quantitative imaging methods can accurately reconstruct the expected shapes, and, after appropriate calibration, the absolute activity of the distributed sources. We conduct several studies of imaging performance versus various measurement and reconstruction parameters, including detector altitude and raster pass spacing, data and modeling fidelity, and regularization type and strength. The imaging quality performance is quantified using various quantitative image quality metrics. Our results confirm the utility of point source arrays as surrogates for truly distributed radiological sources, and advance the quantitative capabilities of Scene Data Fusion gamma-ray imaging methods. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_02926 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Surrogate distributed radiological sources III: quantitative distributed source reconstructions Vavrek, Jayson R. Lee, Jaewon Salathe, Marco Bandstra, Mark S. Hellfeld, Daniel Quiter, Brian J. Joshi, Tenzing H. Y. Instrumentation and Detectors In this third part of a multi-paper series, we present quantitative image reconstruction results from aerial measurements of eight different surrogate distributed gamma-ray sources on flat terrain. We show that our quantitative imaging methods can accurately reconstruct the expected shapes, and, after appropriate calibration, the absolute activity of the distributed sources. We conduct several studies of imaging performance versus various measurement and reconstruction parameters, including detector altitude and raster pass spacing, data and modeling fidelity, and regularization type and strength. The imaging quality performance is quantified using various quantitative image quality metrics. Our results confirm the utility of point source arrays as surrogates for truly distributed radiological sources, and advance the quantitative capabilities of Scene Data Fusion gamma-ray imaging methods. |
| title | Surrogate distributed radiological sources III: quantitative distributed source reconstructions |
| topic | Instrumentation and Detectors |
| url | https://arxiv.org/abs/2412.02926 |