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http://dx.doi.org/10.7742/jksr.2018.12.2.149

A Study on the Presentation of Entrance Surface Dose Model using Semiconductor Dosimeter, General Dosimeter, Glass Dosimeter: Focusing on Comparative Analysis of Effective Dose and Disease Risk through PCXMC 2.0 based on Monte Carlo Simulation  

Hwang, Jun-Ho (Department of Radiology, Kyunghee University Hospital)
Lee, Kyung-Bae (Department of Radiology, Kyunghee University Hospital)
Publication Information
Journal of the Korean Society of Radiology / v.12, no.2, 2018 , pp. 149-157 More about this Journal
Abstract
One of the purposes of radiation protection is to minimize stochastic effects. PCXMC 2.0 is a Monte Carlo Simulation based program and makes it possible to predict effective dose and the probability of cancer development through entrance surface dose. Therefore, it is especially important to measure entrance surface dose through dosimeter. The purpose of this study is to measure entrance surface dose through semiconductor dosimeter, general dosimeter, glass dosimeter, and to compare and analyze the effective dose and probability of disease of critical organs. As an experimental method, the entrance surface dose of skull, chest, abdomen was measured per dosimeter and the effective dose and the probability of cancer development of critical organs per area was evaluated by PCXMC 2.0. As a result, the entrance surface dose per area was different in the order of a general dosimeter, a semiconductor dosimeter, and a glass dosimeter even under the same condition. Base on this analysis, the effective dose and probability of developing cancer of critical organs were also different in the order of a general dosimeter, a semiconductor dosimeter, and a glass dosimeter. In conclusion, it was found that the effective dose and the risk of diseases differ according to the dosimeter used, even under the same conditions, and through this study it was found that it is important to present an accurate entrance surface dose model according to each dosimeter.
Keywords
Entrance Surface Dose; Monte Carlo Simulation; PCXMC 2.0; Effective Dose; Disease Risk;
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Times Cited By KSCI : 7  (Citation Analysis)
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