FPGA-Based Interface of Digital DAQ System for Double-Scattering Compton Camera

被引:1
|
作者
Kim S.M. [1 ]
Kim Y.S. [2 ]
机构
[1] Maritime ICT R&D Center, Korea Institute of Ocean Science & Technology, 385 Haeyang-ro, Yeongdo-gu, Busan
[2] Advanced Radiation Technology Institute, Korea Atomic Energy Research Institute, 29 Keumgu-gil, Jeongeup-si, 56212, Jeollabuk-do
关键词
Double-scattering Compton camera (DSCC); FPGA-based digital DAQ system; Prompt gamma imaging; Sync calibration of interface between ADC and FPGA;
D O I
10.1007/s13139-018-0551-8
中图分类号
学科分类号
摘要
Purpose: The double-scattering Compton camera (DSCC) is a radiation imaging system that can provide both unknown source energy spectra and 3D spatial source distributions. The energies and detection locations measured in coincidence with three CdZnTe (CZT) detectors contribute to reconstructing emission energies and a spatial image based on conical surface integrals. In this study, we developed a digital data acquisition (DAQ) board to support our research into coincidence detection in the DSCC. Methods: The main components of the digital DAQ board were 12 ADCs and one field programmable gate array (FPGA). The ADCs digitized the analog 96-channel CZT signals at a sampling rate of 50 MHz and transferred the serialized ADC samples and the bit and frame clocks to the FPGA. In order to correctly capture the ADC sample bits in the FPGA, we conducted individual sync calibrations for all the ADC channels to align the bit and frame clocks to the right positions of the ADC sample bits. The FPGA logic design was composed of IDELAY and IDDR components, six shift registers, and bit slip buffer resources. Results: Using a Deskew test pattern, the delay value of the IDELAY component was determined to align the bit clock to the center of each sample bit. We determined the bit slip in the 12-bit ADC sample using an MSB test pattern by checking where the MSB value of one is located in the captured parallel data. Conclusions: After sync calibration, we tested the interface between the ADCs and the FPGA with a synthetic analog Gaussian signal. The 96 ADC channels yielded a mean R2 goodness-of-fit value of 0.95 between the Gaussian curve and the captured 12-bit parallel data. © 2018, Korean Society of Nuclear Medicine.
引用
收藏
页码:430 / 437
页数:7
相关论文
共 50 条
  • [21] Reliable FPGA-based Camera Sensor for NCS
    Ahmed, Hadeer
    Alkady, Gehad, I
    Halawa, Hassan H.
    Daoud, Ramez M.
    Amer, Hassanein H.
    Adly, Ihab
    Refaat, Tarek K.
    Shaker, Manar N.
    [J]. PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTERS AND ARTIFICIAL INTELLIGENCE (ECAI-2019), 2019,
  • [22] Prototyping Memristors in Digital System with an FPGA-Based Testing Environment
    Wust, Daniel
    Biglari, Mehrdad
    Knoedtel, Johannes
    Reichenbach, Marc
    Soell, Christopher
    Fey, Dietmar
    [J]. 2017 27TH INTERNATIONAL SYMPOSIUM ON POWER AND TIMING MODELING, OPTIMIZATION AND SIMULATION (PATMOS), 2017,
  • [23] FPGA-based real time digital image processing system
    Thitimajshima, Punya
    [J]. Advances in Physics, Electronics and Signal Processing Applications, 2000, : 357 - 359
  • [24] Real-time implementation with FPGA-based DAQ system of a probabilistic disruption predictor from scratch
    Vega, J.
    Ruiz, M.
    Barrera, E.
    Castro, R.
    Ratta, G. A.
    Dormido-Canto, S.
    Murari, A.
    Bernal, E.
    Abduallev, S.
    Abhangi, M.
    Abreu, P.
    Afzal, M.
    Aggarwal, K. M.
    Ahlgren, T.
    Ahn, J. H.
    Aho-Mantila, L.
    Aiba, N.
    Airila, M.
    Albanese, R.
    Aldred, V.
    Alegre, D.
    Alessi, E.
    Aleynikov, P.
    Alfier, A.
    Alkseev, A.
    Allinson, M.
    Alper, B.
    Alves, E.
    Ambrosino, G.
    Ambrosino, R.
    Amicucci, L.
    Amosov, V.
    Sunden, E. Andersson
    Angelone, M.
    Anghel, M.
    Angioni, C.
    Appel, L.
    Appelbee, C.
    Arena, P.
    Ariola, M.
    Arnichand, H.
    Arshad, S.
    Ash, A.
    Ashikawa, N.
    Aslanyan, V.
    Asunta, O.
    Auriemma, F.
    Austin, Y.
    Avotina, L.
    Axton, M. D.
    [J]. FUSION ENGINEERING AND DESIGN, 2018, 129 : 179 - 182
  • [25] A flexible FPGA-based video compression system and its testing interface
    Wang, Rui
    Jiang, Hongxu
    Li, Qiujie
    Li, Bo
    Zen, Yifang
    [J]. 2006 8TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, VOLS 1-4, 2006, : 537 - +
  • [26] An FPGA-Based Vehicle Speed Measurement System Using an Uncalibrated Camera.
    Song, Ji Ho
    Nguyen Tuong Thuy
    Jin, Seunghun
    Kim, Dongkyun
    Jeon, Jae Wook
    [J]. INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2010), 2010, : 1691 - 1696
  • [27] An FPGA-based Readout Module for the DAQ Subsystem of the DSSC Detector at the European XFEL
    Gerlach, Thomas
    Kugel, Andreas
    [J]. 2012 18TH IEEE-NPSS REAL TIME CONFERENCE (RT), 2012,
  • [28] FPGA-based digital phase-sensitive demodulator for EIT system
    Kou Ge
    Rong Lifeng
    [J]. ICEMI 2007: PROCEEDINGS OF 2007 8TH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS, VOL IV, 2007, : 845 - 848
  • [29] FPGA-based digital chaotic anti-interference lidar system
    Feng, Liyan
    Gao, Huazheng
    Zhang, Jianxun
    Yu, Minghai
    Chen, Xianfeng
    Hu, Weisheng
    Yi, Lilin
    [J]. OPTICS EXPRESS, 2021, 29 (02): : 719 - 728
  • [30] Development of FPGA-based digital signal processing system for radiation spectroscopy
    Lee, Pil Soo
    Lee, Chun Sik
    Lee, Ju Hahn
    [J]. RADIATION MEASUREMENTS, 2013, 48 : 12 - 17