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Comparator-less PET data acquisition system using single-ended memory interface input receivers of FPGA.

Jun Yeon Won1,2,3, Guen Bae Ko2,4,3, Kyeong Yun Kim4

  • 1Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul 03080, Korea.

Physics in Medicine and Biology
|April 4, 2020
PubMed
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A new field-programmable gate array (FPGA) method uses a charge-to-time converter (QTC) and single-ended memory interface (SeMI) for precise charge measurement. This system enables high-resolution imaging in a prototype brain positron emission tomography (PET) scanner.

Area of Science:

  • Medical Imaging
  • Instrumentation
  • Nuclear Science

Background:

  • Positron Emission Tomography (PET) scanners require precise charge measurement for high-resolution imaging.
  • Existing data acquisition systems can be complex and costly.

Purpose of the Study:

  • To develop a novel, linear FPGA-based charge measurement method.
  • To integrate a charge-to-time converter (QTC) with a single-ended memory interface (SeMI) for data acquisition (DAQ).
  • To apply this system to a prototype brain-dedicated PET scanner.

Main Methods:

  • A comparator-less QTC/SeMI DAQ system was designed with 132 energy and 33 timing channels.
  • The system utilizes FPGA I/O buffers configured with SeMI receivers to digitize dual-slope pulses from the QTC.

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  • Two DAQ systems were interconnected via gigabit transceivers to manage data from a 14-sector PET scanner.

    • Main Results:

    • The QTC/SeMI DAQ system successfully acquired data from a prototype brain PET scanner.
    • Flood maps demonstrated clear resolution of all crystals in dual-layer lutetium oxyorthosilicate (LSO) scintillation detectors.
    • Excellent energy resolution was achieved, enabling high-quality PET imaging of various phantoms.

    Conclusions:

    • The proposed linear FPGA-based QTC/SeMI method offers an effective solution for charge measurement in PET imaging.
    • The developed DAQ system provides high-resolution imaging capabilities with improved efficiency.
    • This technology shows promise for advancing brain PET scanner performance.