Feasibility study on real-time γ-ray spectrum / dose measurement system
Recently, medical applications of radiation have been widely spread. However, exposure of medical staffs is sometimes not focused on because treatment of patients is the first priority. It is thus important to decrease exposure for them as much as possible. The purpose of this study is to develop a...
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doaj-d2f269dc070b4615b84ce9b195f4310b2021-08-02T03:57:14ZengEDP SciencesEPJ Web of Conferences2100-014X2017-01-011530701410.1051/epjconf/201715307014epjconf_icrs2017_07014Feasibility study on real-time γ-ray spectrum / dose measurement systemKobayashi Mina0Sato Fuminobu1Kusaka Sachie2Murata Isao3Division of Sustainable Energy and Environmental Engineering, Graduate School of Engineering, Osaka UniversityDivision of Sustainable Energy and Environmental Engineering, Graduate School of Engineering, Osaka UniversityDivision of Sustainable Energy and Environmental Engineering, Graduate School of Engineering, Osaka UniversityDivision of Sustainable Energy and Environmental Engineering, Graduate School of Engineering, Osaka UniversityRecently, medical applications of radiation have been widely spread. However, exposure of medical staffs is sometimes not focused on because treatment of patients is the first priority. It is thus important to decrease exposure for them as much as possible. The purpose of this study is to develop a system which can measure energy spectrum and dose of gamma-rays at the same time in real time in medical application spots. As a result, the medical staff could be guided to aware the risk of radiation and finally the exposure dose to them could be suppressed substantially. We first decided to use a CsI(Tl) scintillator as the gamma-ray detection device. A Multi-Pixel Photon Counter (MPPC) was attached to the scintillator to detect gamma-ray signals. Pulse height spectra were measured with several standard gamma-ray sources. The detection efficiency and energy resolution were deduced from the measured results and the detection efficiency was compared with the calculation result by MCNP5. After evaluating the response function, the energy spectrum was derived with the spectrum type Bayesian estimation and the sequential Bayesian estimation procedure. From the result, it was confirmed that the sequential Bayesian estimation could be applied to real time measurement of gamma-ray energy spectrum and dose.https://doi.org/10.1051/epjconf/201715307014 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Kobayashi Mina Sato Fuminobu Kusaka Sachie Murata Isao |
spellingShingle |
Kobayashi Mina Sato Fuminobu Kusaka Sachie Murata Isao Feasibility study on real-time γ-ray spectrum / dose measurement system EPJ Web of Conferences |
author_facet |
Kobayashi Mina Sato Fuminobu Kusaka Sachie Murata Isao |
author_sort |
Kobayashi Mina |
title |
Feasibility study on real-time γ-ray spectrum / dose measurement system |
title_short |
Feasibility study on real-time γ-ray spectrum / dose measurement system |
title_full |
Feasibility study on real-time γ-ray spectrum / dose measurement system |
title_fullStr |
Feasibility study on real-time γ-ray spectrum / dose measurement system |
title_full_unstemmed |
Feasibility study on real-time γ-ray spectrum / dose measurement system |
title_sort |
feasibility study on real-time γ-ray spectrum / dose measurement system |
publisher |
EDP Sciences |
series |
EPJ Web of Conferences |
issn |
2100-014X |
publishDate |
2017-01-01 |
description |
Recently, medical applications of radiation have been widely spread. However, exposure of medical staffs is sometimes not focused on because treatment of patients is the first priority. It is thus important to decrease exposure for them as much as possible. The purpose of this study is to develop a system which can measure energy spectrum and dose of gamma-rays at the same time in real time in medical application spots. As a result, the medical staff could be guided to aware the risk of radiation and finally the exposure dose to them could be suppressed substantially. We first decided to use a CsI(Tl) scintillator as the gamma-ray detection device. A Multi-Pixel Photon Counter (MPPC) was attached to the scintillator to detect gamma-ray signals. Pulse height spectra were measured with several standard gamma-ray sources. The detection efficiency and energy resolution were deduced from the measured results and the detection efficiency was compared with the calculation result by MCNP5. After evaluating the response function, the energy spectrum was derived with the spectrum type Bayesian estimation and the sequential Bayesian estimation procedure. From the result, it was confirmed that the sequential Bayesian estimation could be applied to real time measurement of gamma-ray energy spectrum and dose. |
url |
https://doi.org/10.1051/epjconf/201715307014 |
work_keys_str_mv |
AT kobayashimina feasibilitystudyonrealtimegrayspectrumdosemeasurementsystem AT satofuminobu feasibilitystudyonrealtimegrayspectrumdosemeasurementsystem AT kusakasachie feasibilitystudyonrealtimegrayspectrumdosemeasurementsystem AT murataisao feasibilitystudyonrealtimegrayspectrumdosemeasurementsystem |
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