Simplified image reconstruction method in 4π Compton imaging for radioactive source identification

Mukai, Atsushi; Tomita, Hideki; Hara, Shintaro; Yamagishi, Keita; Terabayashi, Ryohei; Shimoyama, Tetsuya; Shimazoe, Kenji

doi:10.1109/ieeeconf49454.2021.9382624

Cited by 4 publications

(3 citation statements)

References 7 publications

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“…The energy deposited on each pixel because of the incident gamma rays was recorded as listmode data. The basic performance of the detector as the 4π gamma imager was reported in our previous papers [10,11].…”

Section: Verification Based On the Integrated Simulation Modelmentioning

confidence: 99%

“…Hence, 4π Compton imaging can allow more rapid identification of radiation sources than that possible by methods based on conventional gamma imaging. In this regard, we developed a 4π gamma-ray imaging system using gadolinium aluminum gallium garnet (GAGG) scintillators [8,9] and CdTe detectors [10,11]. Previous studies demonstrated that the location and activity of hidden gamma-ray sources can be estimated by combining gamma-ray images measured at multiple positions [11,12].…”

Section: Introductionmentioning

confidence: 99%

“…In this regard, we developed a 4π gamma-ray imaging system using gadolinium aluminum gallium garnet (GAGG) scintillators [8,9] and CdTe detectors [10,11]. Previous studies demonstrated that the location and activity of hidden gamma-ray sources can be estimated by combining gamma-ray images measured at multiple positions [11,12]. In autonomous source identification by a 4π Compton imager mounted on a robotic vehicle, it is necessary to optimize the measurement procedure, i.e., the measurement positions around the target sources.…”

Section: Introductionmentioning

confidence: 99%

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

Tomita

Hara

Mukai

et al. 2022

Sensors

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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.

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Section: Verification Based On the Integrated Simulation Modelmentioning

confidence: 99%