Real-time gamma-ray energy spectrum / dose monitor with k-α method based on sequential bayesian estimation

Murata, Isao; Voulgaris, Nikolaos; Miyoshi, Takaaki; Shinohara, Moe; Nishimura, Hikari; Kobayashi, Mina; Kusaka, Sachie; Tamaki, Shingo; Sato, Fuminobu

doi:https://doi.org/10.1016/j.apradiso.2024.111454

Real-time gamma-ray energy spectrum / dose monitor with k-α method based on sequential bayesian estimation

Murata, Isao; Voulgaris, Nikolaos; Miyoshi, Takaaki et al.

Applied Radiation and Isotopes, 2024, 212, 111454

Number of Access:899（2025-11-24 14:48 Counts）

Identifier to cite or link to this item: https://hdl.handle.net/11094/98177

Link to primary information

File	Format	Terms of use	Size	Views	Date.Available	Description	information
ApplRadiatIsot_212_111454	pdf	None	4.23 MB	86	2024.09.27

Creative Commons : Attribution - NonCommercial - NoDerivatives

Item Information

Output File Export EndNote Basic Export Mendeley

Title	Real-time gamma-ray energy spectrum / dose monitor with k-α method based on sequential bayesian estimation
Creator	NRID 1000030273600 1000030273600 researchmap permalink read0185261 read0185261 Scopus Author ID 7101662513 7101662513 CreatorName Murata, Isao
	CreatorName Voulgaris, Nikolaos
	CreatorName Miyoshi, Takaaki
	CreatorName Shinohara, Moe
	CreatorName Nishimura, Hikari
	CreatorName Kobayashi, Mina
	NRID 1000030781314 1000030781314 researchmap permalink ks21 ks21 ORCID 0009-0008-8141-7778 0009-0008-8141-7778 Scopus Author ID 57200213734 57200213734 CreatorName Kusaka, Sachie
	NRID 1000010823396 1000010823396 researchmap permalink stu417767g stu417767g Scopus Author ID 56785322900 56785322900 CreatorName Tamaki, Shingo
	NRID 1000040332746 1000040332746 ORCID 0000-0001-9582-4915 0000-0001-9582-4915 researchmap permalink sato_fuminobu sato_fuminobu Scopus Author ID 7402130720 7402130720 CreatorName Sato, Fuminobu
Description	Murata I., Voulgaris N., Miyoshi T., et al. Real-time gamma-ray energy spectrum / dose monitor with k-α method based on sequential bayesian estimation. Applied Radiation and Isotopes 212, 111454 (2024); https://doi.org/10.1016/j.apradiso.2024.111454.
Abstract	Medical applications of radiation have been widely spread until now. However, the exposure of medical staff is sometimes overlooked, because treatment of patients is the first priority. The purpose of this study is to develop a small and light monitor that can measure the energy spectrum and dose of gamma-rays at the same time in real-time for medical applications. Using the monitor, the medical staff could be guided to be more aware ofthe risk of radiation, and finally the exposure to them could be substantially suppressed. So far, a CsI scintillator has been chosen as a detection device of gamma-rays and combined with a Multi-Pixel Photon Counter (MPPC) to develop a prototype monitor. Then we confirmed its basic performance with standard gamma-ray sources. To achieve the real-time measurement, α method (sequential Bayesian estimation) was adopted and improved to propose a new unfolding process, named k-α method, with which the convergence speed could really be accelerated to realize real-time measurement. Also, gamma-ray measurements with a mixed source of 133Ba, 137Cs and 60Co were carried out to confirm the validity of the present monitor. As a result, it was found that gamma-ray energy spectrum could be estimated successfully in several-tens seconds in the field of around 6 μSv/h. For the dose estimation, the correct values could be estimated just after starting measurement.
Publisher	Elsevier Ltd
Source Title	Applied Radiation and Isotopes
Volume (Issue)	212
Page	111454
Date of Issued	2024-10-01
Language	English
Handle URL	https://hdl.handle.net/11094/98177
PISSN	09698043
eISSN	18729800
Relation.isIdenticalTo	DOI (Publisher Version) https://doi.org/10.1016/j.apradiso.2024.111454
Access Rights	open access
CopyRight	This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
oaire:version	Version of Record
Category	学術雑誌論文 Journal Article

Resource Type	journal article
Local Type	Journal Article
DCTERMS.bibliographicCitation	Applied Radiation and Isotopes. 2024, 212, p. 111454
DC.title	Real-time gamma-ray energy spectrum / dose monitor with k-α method based on sequential bayesian estimation
DC.creator	Murata, Isao
	Voulgaris, Nikolaos
	Miyoshi, Takaaki
	Shinohara, Moe
	Nishimura, Hikari
	Kobayashi, Mina
	Kusaka, Sachie
	Tamaki, Shingo
	Sato, Fuminobu
DC.publisher	Elsevier Ltd
DC.language' scheme='DCTERMS.RFC1766	English
DCTERMS.issued' scheme='DCTERMS.W3CDTF	2024-10-01
DC.identifier	https://doi.org/10.1016/j.apradiso.2024.111454
DC.description	Murata I., Voulgaris N., Miyoshi T., et al. Real-time gamma-ray energy spectrum / dose monitor with k-α method based on sequential bayesian estimation. Applied Radiation and Isotopes 212, 111454 (2024); https://doi.org/10.1016/j.apradiso.2024.111454.
DCTERMS.abstract	Medical applications of radiation have been widely spread until now. However, the exposure of medical staff is sometimes overlooked, because treatment of patients is the first priority. The purpose of this study is to develop a small and light monitor that can measure the energy spectrum and dose of gamma-rays at the same time in real-time for medical applications. Using the monitor, the medical staff could be guided to be more aware ofthe risk of radiation, and finally the exposure to them could be substantially suppressed. So far, a CsI scintillator has been chosen as a detection device of gamma-rays and combined with a Multi-Pixel Photon Counter (MPPC) to develop a prototype monitor. Then we confirmed its basic performance with standard gamma-ray sources. To achieve the real-time measurement, α method (sequential Bayesian estimation) was adopted and improved to propose a new unfolding process, named k-α method, with which the convergence speed could really be accelerated to realize real-time measurement. Also, gamma-ray measurements with a mixed source of 133Ba, 137Cs and 60Co were carried out to confirm the validity of the present monitor. As a result, it was found that gamma-ray energy spectrum could be estimated successfully in several-tens seconds in the field of around 6 μSv/h. For the dose estimation, the correct values could be estimated just after starting measurement.
DC.rights	This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
DC.format	98177
citation_title	Real-time gamma-ray energy spectrum / dose monitor with k-α method based on sequential bayesian estimation
citation_author	Murata, Isao
	Voulgaris, Nikolaos
	Miyoshi, Takaaki
	Shinohara, Moe
	Nishimura, Hikari
	Kobayashi, Mina
	Kusaka, Sachie
	Tamaki, Shingo
	Sato, Fuminobu
citation_publisher	Elsevier Ltd
citation_language	English
citation_date	2024-10-01
citation_journal_title	Applied Radiation and Isotopes
citation_volume	212
citation_firstpage	111454
citation_doi	https://doi.org/10.1016/j.apradiso.2024.111454
citation_public_url	https://hdl.handle.net/11094/98177

Real-time gamma-ray energy spectrum / dose monitor with k-α method based on sequential bayesian estimation

Link to primary information

Item Information

Show details