Literature DB >> 32244244

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

Jun Yeon Won1, Guen Bae Ko2, Kyeong Yun Kim2, Haewook Park1, Seungeun Lee1, Jeong-Whan Son2, Jae Sung Lee1.   

Abstract

In this study, we propose a linear field-programmable gate array (FPGA)-based charge measurement method by combining a charge-to-time converter (QTC) with a single-ended memory interface (SeMI) input receiver. The QTC automatically converts the input charge into a dual-slope pulse, which has a width proportional to the input charge. Dual-slope pulses are directly digitized by the FPGA input/output (I/O) buffers configured with SeMI input receivers. A proof-of-concept comparator-less QTC/SeMI data acquisition (DAQ) system, consisting of 132 energy and 33 timing channels, was developed and applied to a prototype brain-dedicated positron emission tomography (PET) scanner. The PET scanner consisted of 14 sectors, each containing 2×1 block detectors, and each block detector yielded four energy signals and one timing signal. Because a single QTC/SeMI DAQ system can receive signals from up to eight sectors, two QTC/SeMI DAQ systems connected using high-speed gigabit transceivers were used to acquire data from the PET scanner. All crystals in the PET block detectors, consisting of dual-layer stacked lutetium oxyorthosilicate (LSO) scintillation crystal and silicon photomultiplier arrays, were clearly resolved in the flood maps with an excellent energy resolution. The PET images of hot-rod, cylindrical, and two-dimensional Hoffman brain phantoms were also acquired using the prototype PET scanner and two QTC/SeMI DAQ systems.
© 2020 Institute of Physics and Engineering in Medicine.

Entities:  

Keywords:  FPGA-based digitizer; brain PET scanner; charge-to-time converter; data acquisition; time-based signal digitization

Year:  2020        PMID: 32244244     DOI: 10.1088/1361-6560/ab8689

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  2 in total

1.  A time-based single transmission-line readout with position multiplexing.

Authors:  Minseok Yi; Jae Sung Lee
Journal:  Biomed Eng Lett       Date:  2022-01-17

Review 2.  Silicon photomultiplier signal readout and multiplexing techniques for positron emission tomography: a review.

Authors:  Haewook Park; Minseok Yi; Jae Sung Lee
Journal:  Biomed Eng Lett       Date:  2022-07-16
  2 in total

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