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Development of Novel Low-Cost Readout Electronics for Large Field-Of-View Gamma Camera Detectors Publisher Pubmed



Radnia A1 ; Alikhani A1 ; Teimourian B1 ; Nejad MY1 ; Farahani MH1 ; Pashaei F2 ; Rahmim A4, 5 ; Zaidi H6, 7, 8, 9 ; Ay MR1, 3
Authors
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Authors Affiliations
  1. 1. Research Center for Molecular and Cellular Imaging (RCMCI), Advanced Medical Technologies and Equipment Institute (AMTEI), Tehran University of Medical Sciences (TUMS), Tehran, Iran
  2. 2. Institute for Research, Education and Treatment of Cancer, Tehran, Iran
  3. 3. Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran
  4. 4. Departments of Radiology and Physics & Astronomy, University of British Columbia, Vancouver, BC, Canada
  5. 5. Department of Integrative Oncology, BC Cancer Research Institute, Vancouver, BC, Canada
  6. 6. Division of Nuclear Medicine & Molecular Imaging, Geneva University Hospital, Geneva, CH-1211, Switzerland
  7. 7. Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
  8. 8. Department of Nuclear Medicine, University of Southern Denmark, Odense, 500, Denmark
  9. 9. University Research and Innovation Center, Obuda University, Budapest, Hungary

Source: Physica Medica Published:2024


Abstract

Purpose: Large scintillation crystals-based gamma cameras play a crucial role in nuclear medicine imaging. In this study, a large field-of-view (FOV) gamma detector consisting of 48 square PMTs developed using a new readout electronics, reducing 48 (6 × 8) analog signals to 14 (6 + 8) analog sums of each row and column, with reduced complexity and cost while preserving image quality. Methods: All 14 analog signals were converted to digital signals using AD9257 high-speed analog to digital (ADC) converters driven by the SPARTAN-6 family of field-programmable gate arrays (FPGA) in order to calculate the signal integrals. The positioning algorithm was based on the digital correlated signal enhancement (CSE) algorithm implemented in the acquisition software. The performance characteristics of the developed gamma camera were measured using the NEMA NU 1-2018 standards. Results: The measured energy resolution of the developed detector was 8.7 % at 140 keV, with an intrinsic spatial resolution of 3.9 mm. The uniformity was within 0.6 %, while the linearity was within 0.1 %. Conclusion: The performance evaluation demonstrated that the developed detector has suitable specifications for high-end nuclear medicine imaging. © 2024 Associazione Italiana di Fisica Medica e Sanitaria
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