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

Autor:	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
Jazyk:	angličtina
Rok vydání:	2022
Předmět:	path planning radioisotope identification 4π gamma imaging random forest Chemical technology TP1-1185
Zdroj:	Sensors, Vol 22, Iss 12, p 4325 (2022)
Druh dokumentu:	article
ISSN:	1424-8220
DOI:	10.3390/s22124325
Popis:	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 137Cs point source. The results showed that 137Cs point sources were identified using the few measurement positions suggested by the path-planning system.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/1cac8bcdc14d4841935d58d5e183db1b Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF Plný text ve formátu HTML
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