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Development of a Multipurpose Gamma-Ray Imaging Detector Module With Enhanced Expandability

Authors :
Sung-Kwan Joo
Hakjae Lee
Kisung Lee
Jinwook Jang
Young Jun Jung
Kyeong Min Kim
Eungi Min
Source :
IEEE Transactions on Nuclear Science. 64:1833-1839
Publication Year :
2017
Publisher :
Institute of Electrical and Electronics Engineers (IEEE), 2017.

Abstract

A silicon photomultiplier (SiPM) is considered a next generation photo-sensor for low-light applications. In this study, we propose and develop the general concept of a multipurpose submillimeter gamma-ray (MSG) imaging module that is applicable to most gamma-ray imaging devices. The main features of the MSG module are submillimeter intrinsic resolution, geometrically expandable structure, expandable data acquisition system, multi-energy capability and usability in intense magnetic fields. The elements of the gamma-ray detector are pixelated Ce:GAGG ( $31\times 31$ pixels, 0.8 mm pitch), a 1.5-mm acrylic light guide, and one SiPM array ( $8 \times 8$ pixels). The readout electronics are composed of a symmetric charge division resistive network, 16 channel preamplifiers, multiplexing amplifiers, and analog-to-digital converter (ADC) circuits. We use a subminiature field-programmable gate array (FPGA) board as a data acquisition system. To make the system more expandable, we apply a 10 GbE-based tree structure using a FPGA-based data acquisition board and switching hub. To verify multipurpose capabilities, the energy spectra and the flood images are obtained using Co-57, Na-22, and Cs-137 isotopes. We measure temperature characteristics of the detector module. A pinhole image is obtained to confirm high resolution property. The maximal data transfer rate that is measured using dummy gamma-ray event packets is 963.143 Mbps. This detector module can be applied to nuclear medicine imaging devices and radiation monitoring systems.

Details

ISSN :
15581578 and 00189499
Volume :
64
Database :
OpenAIRE
Journal :
IEEE Transactions on Nuclear Science
Accession number :
edsair.doi...........a760e651dbac5e542e82b330a21d568b
Full Text :
https://doi.org/10.1109/tns.2017.2649563