2020
DOI: 10.1016/j.cpc.2019.107131
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Full 3D position reconstruction of a radioactive source based on a novel hyperbolic geometrical algorithm

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Cited by 4 publications
(4 citation statements)
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“…In this feasibility study, the 75 Se source was used in testing the viability of the imager. As shown in Figure 19, the source decay vertex can be determined using the estimated timedifference-of-arrival (TDOA) of the two cascade photons detected in coincidence and the global coordinates of the coincident detector pairs (Chiang et al, 2020;Panaino et al, 2020). Results show that the TOF-DuPECT imager is having a sensitivity of 0.4% (~4.0 × 10 -3 ).…”
Section: Cgc Imager Based On Time-of-flight (Tof) Informationmentioning
confidence: 99%
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“…In this feasibility study, the 75 Se source was used in testing the viability of the imager. As shown in Figure 19, the source decay vertex can be determined using the estimated timedifference-of-arrival (TDOA) of the two cascade photons detected in coincidence and the global coordinates of the coincident detector pairs (Chiang et al, 2020;Panaino et al, 2020). Results show that the TOF-DuPECT imager is having a sensitivity of 0.4% (~4.0 × 10 -3 ).…”
Section: Cgc Imager Based On Time-of-flight (Tof) Informationmentioning
confidence: 99%
“…However, when there is a need for the precise location of an individual decaying nucleus, a different imaging approach is required. One of the important imaging approaches is the one based on cascade gamma-ray coincidence imaging (Spyrou et al, 2000;Shimazoe et al, 2017;Rangacharyulu et al, 2018;Santosh et al, 2019;Panaino et al, 2020;Rangacharyulu et al, 2020). Cascade gamma-ray coincidence (CGC) imaging is referred to as the instance whereby two gamma-ray photons from a single decay are detected in coincidence with a pair of detectors (Saffer et al, 1992).…”
Section: Introductionmentioning
confidence: 99%
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“…Using an appropriate mathematical model, such as Equation ( 5), counts from different sources and background (characterised by λ) can be generated [61]. Alternatively, Monte Carlo simulations of source-detector scenarios can be performed with computational models using software such as the GEANT4 package developed at CERN, which can output the energy (and total counts) deposited in detectors from user defined sources [69,70]. These methods of modeling screening systems provide a means for testing novel data processing algorithms (and detector materials in the case of Monte Carlo-based computational models) without requiring experimental data that can be be significantly more costly to obtain.…”
Section: Modelling Screening Systemsmentioning
confidence: 99%