Fused x-ray and fast neutron CT reconstruction for imaging large and dense objects
| Autor: | Kyle M. Champley, Anthony J. Hardy, Nerine Cherepy, Andrew Townsend, James Hall, Kathryn J. Harke, Clint Carter, Joseph Bendahan, Joseph W. Tringe |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Journal of Applied Physics. 132:154902 |
| ISSN: | 1089-7550 0021-8979 |
| DOI: | 10.1063/5.0098960 |
| Popis: | Megavolt x-ray computed tomography (CT) is a powerful tool for three-dimensional characterization. However, its utility is limited for large objects composed of high-atomic number (Z) materials, where x rays fail to penetrate. Information from fast neutron CT (FNCT) can complement x-ray CT reconstructions since fast neutrons can more readily penetrate high-Z objects. Here, we demonstrate a method for combining FNCT and x-ray CT data to create a single reconstruction, more accurate than could be achieved with either x rays or fast neutrons alone. The algorithm was tested on an exemplar comprising multiple concentric, nested cylinders of different materials. Simulated and empirical x-ray CT data were acquired for the exemplar using a 9 MV bremsstrahlung spectrum. Additional simulated and empirical FNCT data were acquired using an accelerator based fast neutron source. The FNCT data were used to synthesize x-ray CT data and augment the x-ray CT data missing due to lack of penetration. This approach mitigates artifacts that would otherwise negatively affect the accuracy and resolution of a single-modality reconstructed volume. |
| Databáze: | OpenAIRE |
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