Earticle

초록

영어

Background: Gamma emission tomography (GET) is one of the most reliable methods for detection of partial-defects within spent nuclear fuel (SNF). In our previous study, we developed and proposed the scintillation crystal-based GET instrument named Yonsei single-photon emission computed tomography (YSECT). However, this conventional YSECT instrument has consequential limitations related to the low inspection accuracy in the central region, which fact is due to the high density of nuclear fuel rods. This study aimed to derive, as proposed in this paper and using Monte Carlo simulation, a multisensor-based YSECT for enhancement of partialdefect detection accuracy. Materials and Methods: The gamma-ray energy spectra for gadolinium aluminum gallium garnet (GAGG), CsI(Tl), CdWO4, and PbWO4 were obtained to determine the appropriate material for image quality improvement in the central region. The shapes of the spectra and the detection efficiencies were compared among the scintillation crystal materials. The tomographic images were acquired with both conventional YSECT and the newly proposed YSECT, and their quality was compared based on the signal-to-noise ratio (SNR). Results and Discussion: CdWO4 was found to have a detection efficiency twice as high as that of GAGG, owing to its high-density despite poor light yield. Based on these results, the optimal scintillation crystal material for enhancement of detection efficiency for high-energy (>662 keV) gamma rays was determined to be CdWO4. In accordance with the optimization study, the SNR of the CdWO4 image was calculated as 7.95, which was higher than that of the GAGG image by a factor of 2. Furthermore, the SNR of the synthesis image was determined to be 9.85, which was higher than that of the single-sensor–based YSECT image by a factor of 1.59. Conclusion: Based on these results, we believe that the multisensor-based YSECT can enhance inspection accuracy for partial defects arising in pressurized water reactor-type SNF. In further studies, the effect and influence of neutrons will be evaluated and noise-reduction methods will be developed.

목차

ABSTRACT
Introduction
Materials and Methods
1. Optimization of Scintillation Crystal Using Monte Carlo Simulation
2. Image Quality of Proposed Scintillation Crystal with YSECT
Results and Discussion
1. Evaluation of Scintillation Crystals for Energy Spectrum and Detection Efficiency
2. Comparison of Image Quality According to Scintillation Crystal
3. Single vs. Multisensor–Based YSECT
Conclusion
Article Information
References

키워드

저자

• Hyung-Joo Choi [ Department of Radiation Convergence Engineering, Yonsei University, Wonju, Republic of Korea ]
• Hyun Joon Choi [ Department of Radiation Oncology, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea ]
• Hyun Cheol Lee [ Korea Institute of Nuclear Nonproliferation and Control, Daejeon, Republic of Korea ]
• Yong Hyun Chung [ Department of Radiation Convergence Engineering, Yonsei University, Wonju, Republic of Korea ]
• Chul Hee Min [ Department of Radiation Convergence Engineering, Yonsei University, Wonju, Republic of Korea ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  방사선방어학회지 [Journal of Radiation Protection and Research]

• 간기

  계간

• pISSN

  2508-1888

• 수록기간

  1976~2026

• 등재여부

  KCI 등재,SCOPUS

• 십진분류

  KDC 559 DDC 629