Gamma-ray Source Identification by a Vehicle-mounted 4π Compton Imager

Tomita, Hideki; Nurrachman, Agus; Takahashi, Hiroyuki; Ebi, Hidetake; Ishida, Fujimaro; Takada, Eiji; Kawarabayashi, Jun; Tsuchiya, K.; Iguchi, Tetsuo; Mukai, Atsushi; Kanamori, Kotaro; Shimazoe, Kenji; Woo, Hanwool; Tamura, Yusuke; Hara, Shintaro; Terabayashi, Ryohei; Uenomachi, Mizuki

doi:10.1109/sii46433.2020.9025865

Cited by 12 publications

(5 citation statements)

References 5 publications

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“…The performance evaluation of the camera demonstrated its feasibility to distinguish gamma sources located at near and further distances from the detector and could differentiate the source type by their energy. Tomita et al [ 90 ] proposed and developed a vehicle-mounted 4π Compton imager based on the 3D pixel array CdTe detector. The position and activity of a single 137 Cs was estimated quantitively in 3D voxel space at three positions.…”

Section: Types Of Compton Camerasmentioning

confidence: 99%

Development and Applications of Compton Camera—A Review

Parajuli

Sakai

Parajuli³

et al. 2022

Sensors

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The history of Compton cameras began with the detection of radiation sources originally for applications in astronomy. A Compton camera is a promising γ-ray detector that operates in the wide energy range of a few tens of keV to MeV. The γ-ray detection method of a Compton camera is based on Compton scattering kinematics, which is used to determine the direction and energy of the γ-rays without using a mechanical collimator. Although the Compton camera was originally designed for astrophysical applications, it was later applied in medical imaging as well. Moreover, its application in environmental radiation measurements is also under study. Although a few review papers regarding Compton cameras have been published, they either focus very specifically on the detectors used in such cameras or the particular applications of Compton cameras. Thus, the aim of this paper is to review the features and types of Compton cameras and introduce their applications, associated imaging algorithms, improvement scopes, and their future aspects.

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Section: Types Of Compton Camerasmentioning

confidence: 99%

Development and Applications of Compton Camera—A Review

Parajuli

Sakai

Parajuli³

et al. 2022

Sensors

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“…In the source identification method based on 4π gamma imaging [12], a point source is assumed to exist in a certain voxel in a three-dimensional (3D) voxel space, and the source intensity at the pixel in the direction estimated from the gamma image is calculated from the intensity of the gamma image. This calculation is performed for 4π gamma images obtained at several positions around a source, and finally, the source is identified as being present at that intensity at a position for which the results are consistent.…”

Section: Investigation Of Path-planning System Using An Integrated Si...mentioning

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%

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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“…33) Compton cameras and active coded-mask cameras have been enhanced to cover a full 4π FOV. [34][35][36][37][38][39][40][41][42][43][44] We introduce a novel gamma-ray imaging approach. The proposed method uses multiple shielding cubes randomly spread in three-dimensional (3D) space to create unique gammaray flux patterns.…”

Section: Introductionmentioning

confidence: 99%

Simulation of a gamma-ray imaging technique using detector response patterns

Kitayama,

Nogami,

Hitomi

2024

Jpn. J. Appl. Phys.

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We introduce a novel gamma-ray imaging technique that uses detector response patterns. This method employs multiple shielding cubes randomly positioned in a three-dimensional configuration. Within the volume defined by these cubes, a unique gamma-ray flux pattern is formed based on the incidence direction of the gamma rays. This pattern can be measured using the responses of several scintillator cubes. By pre-measuring the detector response pattern and incidence direction of the gamma rays, the incidence direction can be estimated using an unfolding technique. Simulations were performed using a 137Cs point source. Our results show that a 10 MBq 137Cs source, located 3 m away from the imager, can be imaged with an angular resolution close to 10°. These findings suggest that our new method is comparable to existing gamma-ray imaging techniques. Potential applications of this imaging method include nuclear power plant decommissioning, nuclear medicine, security, and astronomy.

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Gamma-ray Source Identification by a Vehicle-mounted 4π Compton Imager

Cited by 12 publications

References 5 publications

Development and Applications of Compton Camera—A Review

Development and Applications of Compton Camera—A Review

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

Simulation of a gamma-ray imaging technique using detector response patterns

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