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October 3, 2025Journal of Radiation Protection and ResearchOpen Access

Development of High-Efficiency Multisensor Detection System for Gamma Emission Tomography in Spent Nuclear Fuel Inspection

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Authors

HCHyung-Joo ChoiHCH. ChoiHLHyun-Cheol Lee

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Overview

This research demonstrates improved detection efficiency of partial defects in spent nuclear fuel using a multisensor system, indicating potential for enhanced nuclear safety.

Key Points

  • The new multisensor-based YSECT significantly enhances detection efficiency for gamma rays in spent nuclear fuel.
  • Detection efficiency for CdWO4 was found to be twice that of GAGG, yielding a higher signal-to-noise ratio for imaging.
  • The study utilized Monte Carlo simulations to compare the performance of different scintillation crystal materials.
  • This approach may enable improved inspection accuracy, particularly in high-density regions of spent nuclear fuel.

Cite This Study

Choi et al. (2025) studied this question.

synapsesocial.com/papers/68e034fdf0e39f13e7fa33f8https://doi.org/10.14407/jrpr.2025.00094
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Also Consider

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  1. 1Optimization of Yonsei Single-Photon Emission Computed Tomography (YSECT) Detector for Fast Inspection of Spent Nuclear Fuel in Water Storage2024 · 5 citations
  2. 2Image reconstruction method of gamma emission tomography based on prior-aware information and machine learning for partial-defect detection of PWR-type spent nuclear fuel2024 · 3 citations
  3. 3Radiation damage evaluation of YSECT v.2 for spent nuclear fuel inspection in wet storage facility2024 · 6 citations
  4. 4Optimization of single-photon emission computed tomography system for fast verification of spent fuel assembly: a Monte Carlo study2019 · 17 citations
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