Abstract
The Passive Gamma Emission Tomography (PGET) instrument has received authorization from the International Atomic Energy Agency (IAEA) for inspecting spent fuel assemblies (SFAs) to detect any diversion of fuel rods. Our approach frames the image reconstruction process as an inverse problem, allowing a direct estimate of the fuel rod activity. In this work, we incorporated spectrum unfolding to reconstruct the gamma-ray emission spectrum of the spent fuel rods based on gamma-ray spectra measured by CZT detectors, which eliminated the algorithm's dependence on prior burnup data to avoid potential bias in the verification process. We applied the reconstruction algorithm to a VVER-440 fuel assembly and successfully imaged all the fuel rods. We observed a 24 % increase in the difference between the reconstructed activity of water channel and fuel rods when the reconstructed emission spectrum was used.
| Original language | English |
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| Title of host publication | 2025 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD) |
| Publisher | IEEE |
| ISBN (Electronic) | 9781665477673 |
| ISBN (Print) | 9781665477680 |
| DOIs | |
| Publication status | Published - 18 Dec 2025 |
| Event | IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detector Conference 2025 - Yokohama, Japan Duration: 1 Nov 2025 → 8 Nov 2025 |
Conference
| Conference | IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detector Conference 2025 |
|---|---|
| Abbreviated title | NSS MIC RTSD 2025 |
| Country/Territory | Japan |
| City | Yokohama |
| Period | 1/11/25 → 8/11/25 |
Keywords
- Fuels
- image reconstruction
- nuclear energy
- assembly
- inverse problems
- gamma-rays
- detectors
- security
- reconstruction algorithms
- radiation protection