Login / Signup

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

Hideki TomitaShintaro HaraAtsushi MukaiKeita YamagishiHidetake EbiKenji ShimazoeYusuke TamuraHanwool WooHiroyuki TakahashiHajime AsamaFumihiko IshidaEiji TakadaJun KawarabayashiKosuke TanabeKei Kamada
Published in: Sensors (Basel, Switzerland) (2022)
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.
Keyphrases
  • high resolution
  • climate change
  • mass spectrometry
  • drinking water
  • radiation therapy
  • convolutional neural network
  • photodynamic therapy
  • fluorescence imaging
  • virtual reality