DOI QR코드

DOI QR Code

심근 핵의학 검사에서 다양한 방사성핵종 조건에 따른 내부피폭선량 평가: 몬테카를로 시뮬레이션

Evaluation of Internal Dosimetry according to Various Radionuclides Conditions in Nuclear Medicine Myocardial Scan: Monte Carlo Simulation

  • 이민관 (을지대학교 방사선학과) ;
  • 박찬록 (을지대학교 방사선학과)
  • Min-Gwan Lee (Department of Radiological Science, Eulji University) ;
  • Chanrok Park (Department of Radiological Science, Eulji University)
  • 투고 : 2024.05.09
  • 심사 : 2024.05.28
  • 발행 : 2024.06.30

초록

The myocardial nuclear medicine examination is widely performed to diagnose myocardium disease using various radionuclides. Although image quality according to radionuclides has improved, the radiation exposure for target organ as well as peripheral organs should be considered. Here, the aim of this study was to evaluate absorbed dose (Gy) for peripheral organs in myocardial nuclear medicine scan from myocardium according to various scan environments based on Monte Carlo simulation. The simulation environment was modeled 5 cases, which were considered by radionuclides, number of injections, and radiodosage. In addition, the each radionuclide simulation such as distribution fraction was considered by recommended standard protocol, and the mesh computational female phantom, which is provided by International Commission on Radiological Protection (ICRP) 145, was used using the particle and heavy ion transport code system (PHITS) version 3.33. Based on the results, the closer to the myocardium, the higher the absorbed dose values. In addition, application for dual injection for radionuclides leaded to high absorbed dose compared with single injection for radionuclide. Consequently, there is difference for absorbed dose according to radionuclides, number of injections, and radiodosage. To detect the accurate diseased area, acquisition for improved image quality is crucial process by injecting radionuclides, however, we need to consider absorbed dose both target and peripheral inner organs from radionuclides in terms radiation protection for patient.

키워드

과제정보

This paper was supported by Eulji University in 2023.

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