Uncertainty evaluation of absorbed dose measurements by means of small-type OSL dosimeter for radiotherapeutic X-ray region
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- TOMINAGA Masahide
- Institute of Biomedical Sciences, Tokushima University Graduate School
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- HAYASHI Hiroaki
- Institute of Biomedical Sciences, Tokushima University Graduate School
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- MATSUMOTO Akinori
- Graduate School of Health Sciences, Tokushima University
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- SASAKI Motoharu
- Tokushima University Hospital
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- KIMOTO Natsumi
- Graduate School of Health Sciences, Tokushima University
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- OKAZAKI Tohru
- Nagase Landauer, Ltd., Technical Office
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- HASHIZUME Takuya
- Nagase Landauer, Ltd., Technical Office
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- KOBAYASHI Ikuo
- Nagase Landauer, Ltd., Technical Office
Abstract
For Quality Assurance of clinical radiation therapy, it is necessary to accurately measure multiple doses, and evaluate and compare the results to the radiation treatment system. Based on the measurements using multiple dosimeters,there is no uncertainty estimation of the delivered dose for accurate analysis. In this study, we focused attention on smalltype optically stimulated luminescence(OSL)dosimeters, and clarified the relationship of uncertainties between the experimental variance associated with multiple data points and the variance predicted by Poisson distribution. The experiments were carried out as follows : fifteen dosimeters were placed in a water equivalent phantom, they were irradiated with X-rays having an acceleration voltage of 10-MV with 167.2 cGy(200 MU)and 2,090 cGy(2,500 MU). Each dosimeter was read ten times and the experimental variance and predicted variance were analyzed. As a result, we found that the experimental uncertainties were 3.9 and 6.2 times higher than predicted uncertainty when irradiated at 167.2 cGy and 2,090 cGy, respectively. We discuss the relationship of measurement uncertainties. Then, we concluded that the uncertainty of OSL dosimeters was found to be 3%. We also conclude that the OSL dosimeter can be used to measure the absorbed dose in the radiation therapy region.
Journal
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- Medical Imaging and Information Sciences
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Medical Imaging and Information Sciences 33 (2), 32-37, 2016
MEDICAL IMAGING AND INFORMATION SCIENCES
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Keywords
Details 詳細情報について
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- CRID
- 1390282679630809856
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- NII Article ID
- 130005160799
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- ISSN
- 18804977
- 09101543
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- Text Lang
- en
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- Data Source
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- JaLC
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed