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

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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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Sensors
Subjects:
path planning
radioisotope identification
4π gamma imaging
random forest
Online Access:https://www.mdpi.com/1424-8220/22/12/4325
Description
Summary: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.
ISSN:1424-8220

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