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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...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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. |
format | Online Article Text |
id | pubmed-9227441 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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