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

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

Research output: Contribution to journalArticlepeer-review

Abstract

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 a137Cs point source. The results showed that137Cs point sources were identified using the few measurement positions suggested by the path-planning system.

Original languageEnglish
Article number4325
JournalSensors
Volume22
Issue number12
DOIs
Publication statusPublished - 2022 Jun 1

Keywords

  • 4π gamma imaging
  • path planning
  • radioisotope identification
  • random forest

ASJC Scopus subject areas

  • Analytical Chemistry
  • Information Systems
  • Biochemistry
  • Atomic and Molecular Physics, and Optics
  • Instrumentation
  • Electrical and Electronic Engineering

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