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...
| Main Authors: | , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-06-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/12/4325 |
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| author | Hideki Tomita Shintaro Hara Atsushi Mukai Keita Yamagishi Hidetake Ebi Kenji Shimazoe Yusuke Tamura Hanwool Woo Hiroyuki Takahashi Hajime Asama Fumihiko Ishida Eiji Takada Jun Kawarabayashi Kosuke Tanabe Kei Kamada |
| author_facet | Hideki Tomita Shintaro Hara Atsushi Mukai Keita Yamagishi Hidetake Ebi Kenji Shimazoe Yusuke Tamura Hanwool Woo Hiroyuki Takahashi Hajime Asama Fumihiko Ishida Eiji Takada Jun Kawarabayashi Kosuke Tanabe Kei Kamada |
| author_sort | Hideki Tomita |
| collection | DOAJ |
| 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 <sup>137</sup>Cs point source. The results showed that <sup>137</sup>Cs point sources were identified using the few measurement positions suggested by the path-planning system. |
| first_indexed | 2024-03-09T22:33:33Z |
| format | Article |
| id | doaj.art-1cac8bcdc14d4841935d58d5e183db1b |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T22:33:33Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-1cac8bcdc14d4841935d58d5e183db1b2023-11-23T18:51:35ZengMDPI AGSensors1424-82202022-06-012212432510.3390/s22124325Path-Planning System for Radioisotope Identification Devices Using 4π Gamma Imaging Based on Random Forest AnalysisHideki Tomita0Shintaro Hara1Atsushi Mukai2Keita Yamagishi3Hidetake Ebi4Kenji Shimazoe5Yusuke Tamura6Hanwool Woo7Hiroyuki Takahashi8Hajime Asama9Fumihiko Ishida10Eiji Takada11Jun Kawarabayashi12Kosuke Tanabe13Kei Kamada14Department of Energy Engineering, Nagoya University, Nagoya 464-8603, JapanDepartment of Energy Engineering, Nagoya University, Nagoya 464-8603, JapanDepartment of Energy Engineering, Nagoya University, Nagoya 464-8603, JapanDepartment of Energy Engineering, Nagoya University, Nagoya 464-8603, JapanDepartment of Energy Engineering, Nagoya University, Nagoya 464-8603, JapanDepartment of Nuclear Engineering and Management, The University of Tokyo, Tokyo 113-8656, JapanDepartment of Robotics, Tohoku University, Sendai 980-8579, JapanDepartment of Mechanical Systems Engineering, Kogakuin University, Hachioji 192-0015, JapanDepartment of Nuclear Engineering and Management, The University of Tokyo, Tokyo 113-8656, JapanDepartment of Precision Engineering, The University of Tokyo, Tokyo 113-8656, JapanNational Institute of Technology, Toyama College, Toyama-shi 939-8630, JapanNational Institute of Technology, Toyama College, Toyama-shi 939-8630, JapanDepartment of Nuclear Safety Engineering, Tokyo City University, Tokyo 158-8557, JapanNational Research Institute of Police Science, Chiba 277-0882, JapanInstitute of Engineering Innovation, Tohoku University, Sendai 980-8579, JapanWe 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 <sup>137</sup>Cs point source. The results showed that <sup>137</sup>Cs point sources were identified using the few measurement positions suggested by the path-planning system.https://www.mdpi.com/1424-8220/22/12/4325path planningradioisotope identification4π gamma imagingrandom forest |
| spellingShingle | Hideki Tomita Shintaro Hara Atsushi Mukai Keita Yamagishi Hidetake Ebi Kenji Shimazoe Yusuke Tamura Hanwool Woo Hiroyuki Takahashi Hajime Asama Fumihiko Ishida Eiji Takada Jun Kawarabayashi Kosuke Tanabe Kei Kamada Path-Planning System for Radioisotope Identification Devices Using 4π Gamma Imaging Based on Random Forest Analysis Sensors path planning radioisotope identification 4π gamma imaging random forest |
| 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 | path planning radioisotope identification 4π gamma imaging random forest |
| url | https://www.mdpi.com/1424-8220/22/12/4325 |
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