A Method for Using a Radiophotoluminescence Glass Dosimeter in Accurate Tissue Dosimetry
Pilsoo Lee, Jae‐Seok Kim, Wi-Ho Ha, Byeong Ryong Park, Han Sung Kim, Gyu Seok Cho, Kum Bae Kim, Sunhoo Park, Young-Woo Jin
Abstract
Pilsoo Lee, Jae‐Seok Kim, Wi-Ho Ha, Byeong Ryong Park, Han Sung Kim, Gyu Seok Cho, Kum Bae Kim, Sunhoo Park, Young-Woo Jin
Abstract
In the field of radiation dosimetry, a radiophotoluminescence glass dosimeter (RPLGD) has become one of widely used dosimeters owing to its better properties compared to other conventionally used dosimeters. However, it is questionable if its absorbed dose can represent dose received by water or body tissue because the RPLGD has significantly different physical and radiological properties from those of water, which is commonly accepted as standard material in clinical dosimetry. In the present paper, the feasibility of using the RPLGD in tissue dosimetry was investigated by means of Monte-Carlo simulations, which were validated with experimental data obtained under well-defined conditions. As a result, it was quantitatively demonstrated that RPLGD dose and water dose generally do not agree each other, while such differences can be compensated by employing a correction factor. In this study, we present a method combining experimental and computational dosimetry techniques that could reduce uncertainty in dosimetry.
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In the field of radiation dosimetry, a radiophotoluminescence glass dosimeter (RPLGD) has become one of widely used dosimeters owing to its better properties compared to other conventionally used dosimeters. However, it is questionable if its absorbed dose can represent dose received by water or body tissue because the RPLGD has significantly different physical and radiological properties from those of water, which is commonly accepted as standard material in clinical dosimetry. In the present paper, the feasibility of using the RPLGD in tissue dosimetry was investigated by means of Monte-Carlo simulations, which were validated with experimental data obtained under well-defined conditions. As a result, it was quantitatively demonstrated that RPLGD dose and water dose generally do not agree each other, while such differences can be compensated by employing a correction factor. In this study, we present a method combining experimental and computational dosimetry techniques that could reduce uncertainty in dosimetry.
Key concepts: Dosimetry, Dosimeter, Materials science, Monte Carlo method, Medical physics, Absorbed dose, Radiological weapon, Biomedical engineering