NDLI: Estimation of Compton imager using single 3D position-sensitive LYSO scintillator: Monte Carlo simulation

Content Provider	Springer Nature Link
Author	Lee, Wonho Lee, Hyounggun Kim, Younghak Lee, Taewoong
Copyright Year	2017
Abstract	The performance of a Compton imager using a single three-dimensional position-sensitive LYSO scintillator detector was estimated using a Monte Carlo simulation. The Compton imager consisted of a single LYSO scintillator with a pixelized structure. The size of the scintillator and each pixel were 1.3 × 1.3 × 1.3 cm$^{3}$ and 0.3 × 0.3 × 0.3 cm$^{3}$, respectively. The order of γ-ray interactions was determined based on the deposited energies in each detector. After the determination of the interaction sequence, various types of reconstruction algorithms such as simple back-projection, filtered back-projection, and list-mode maximum-likelihood expectation maximization (LM-MLEM) were applied and compared with each other in terms of their angular resolution and signal-to-noise ratio (SNR) for several γ-ray energies. The LM-MLEM reconstruction algorithm exhibited the best performance for Compton imaging in maintaining high angular resolution and SNR. The two sources of $^{137}$Cs (662 keV) could be distinguishable if they were more than 17° apart. The reconstructed Compton images showed the precise position and distribution of various radiation isotopes, which demonstrated the feasibility of the monitoring of nuclear materials in homeland security and radioactive waste management applications.
Starting Page	70
Ending Page	76
Page Count	7
File Format	PDF
ISSN	03744884
Journal	Journal of the Korean Physical Society
Volume Number	71
Issue Number	2
e-ISSN	19768524
Language	English
Publisher	The Korean Physical Society
Publisher Date	2017-07-22
Publisher Place	Seoul
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Compton imager 3D single position-sensitive LYSO scintillator Theoretical, Mathematical and Computational Physics Physics Particle and Nuclear Physics
Content Type	Text
Resource Type	Article
Subject	Physics and Astronomy

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