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Path-Planning System for Radioisotope Identification Devices Using 4π Gamma Imaging Based on Random Forest Analysis

We developed a path-planning system for radiation source identification devices using 4π gamma imaging. The estimated source location and activity were calculated by an integrated simulation model by using 4π gamma images at multiple measurement positions. Using these calculated values, a prediction...

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Detalles Bibliográficos
Autores principales: Tomita, Hideki, Hara, Shintaro, Mukai, Atsushi, Yamagishi, Keita, Ebi, Hidetake, Shimazoe, Kenji, Tamura, Yusuke, Woo, Hanwool, Takahashi, Hiroyuki, Asama, Hajime, Ishida, Fumihiko, Takada, Eiji, Kawarabayashi, Jun, Tanabe, Kosuke, Kamada, Kei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9227441/
https://www.ncbi.nlm.nih.gov/pubmed/35746105
http://dx.doi.org/10.3390/s22124325
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author Tomita, Hideki
Hara, Shintaro
Mukai, Atsushi
Yamagishi, Keita
Ebi, Hidetake
Shimazoe, Kenji
Tamura, Yusuke
Woo, Hanwool
Takahashi, Hiroyuki
Asama, Hajime
Ishida, Fumihiko
Takada, Eiji
Kawarabayashi, Jun
Tanabe, Kosuke
Kamada, Kei
author_facet Tomita, Hideki
Hara, Shintaro
Mukai, Atsushi
Yamagishi, Keita
Ebi, Hidetake
Shimazoe, Kenji
Tamura, Yusuke
Woo, Hanwool
Takahashi, Hiroyuki
Asama, Hajime
Ishida, Fumihiko
Takada, Eiji
Kawarabayashi, Jun
Tanabe, Kosuke
Kamada, Kei
author_sort Tomita, Hideki
collection PubMed
description We developed a path-planning system for radiation source identification devices using 4π gamma imaging. The estimated source location and activity were calculated by an integrated simulation model by using 4π gamma images at multiple measurement positions. Using these calculated values, a prediction model to estimate the probability of identification at the next measurement position was created by via random forest analysis. The path-planning system based on the prediction model was verified by integrated simulation and experiment for a (137)Cs point source. The results showed that (137)Cs point sources were identified using the few measurement positions suggested by the path-planning system.
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spelling pubmed-92274412022-06-25 Path-Planning System for Radioisotope Identification Devices Using 4π Gamma Imaging Based on Random Forest Analysis Tomita, Hideki Hara, Shintaro Mukai, Atsushi Yamagishi, Keita Ebi, Hidetake Shimazoe, Kenji Tamura, Yusuke Woo, Hanwool Takahashi, Hiroyuki Asama, Hajime Ishida, Fumihiko Takada, Eiji Kawarabayashi, Jun Tanabe, Kosuke Kamada, Kei Sensors (Basel) Article We developed a path-planning system for radiation source identification devices using 4π gamma imaging. The estimated source location and activity were calculated by an integrated simulation model by using 4π gamma images at multiple measurement positions. Using these calculated values, a prediction model to estimate the probability of identification at the next measurement position was created by via random forest analysis. The path-planning system based on the prediction model was verified by integrated simulation and experiment for a (137)Cs point source. The results showed that (137)Cs point sources were identified using the few measurement positions suggested by the path-planning system. MDPI 2022-06-07 /pmc/articles/PMC9227441/ /pubmed/35746105 http://dx.doi.org/10.3390/s22124325 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Tomita, Hideki
Hara, Shintaro
Mukai, Atsushi
Yamagishi, Keita
Ebi, Hidetake
Shimazoe, Kenji
Tamura, Yusuke
Woo, Hanwool
Takahashi, Hiroyuki
Asama, Hajime
Ishida, Fumihiko
Takada, Eiji
Kawarabayashi, Jun
Tanabe, Kosuke
Kamada, Kei
Path-Planning System for Radioisotope Identification Devices Using 4π Gamma Imaging Based on Random Forest Analysis
title Path-Planning System for Radioisotope Identification Devices Using 4π Gamma Imaging Based on Random Forest Analysis
title_full Path-Planning System for Radioisotope Identification Devices Using 4π Gamma Imaging Based on Random Forest Analysis
title_fullStr Path-Planning System for Radioisotope Identification Devices Using 4π Gamma Imaging Based on Random Forest Analysis
title_full_unstemmed Path-Planning System for Radioisotope Identification Devices Using 4π Gamma Imaging Based on Random Forest Analysis
title_short Path-Planning System for Radioisotope Identification Devices Using 4π Gamma Imaging Based on Random Forest Analysis
title_sort path-planning system for radioisotope identification devices using 4π gamma imaging based on random forest analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9227441/
https://www.ncbi.nlm.nih.gov/pubmed/35746105
http://dx.doi.org/10.3390/s22124325
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