Electronic Science and Technology ›› 2022, Vol. 35 ›› Issue (3): 1-7.doi: 10.16180/j.cnki.issn1007-7820.2022.03.001

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Sparse Quantization Level Method for Scintillation Pulse Based on Feedback Regulation

Zhenzhou DENG1,Qin HU1,Wensheng LAI1,Chunlei HAN1,2,Ling TAO1   

  1. 1. Information Engineering School,Nanchang University,Nanchang 330000,China
    2. Turku PET Centre,Turku University Hospital and University of Turku,Turku 999018, Finland
  • Received:2020-11-04 Online:2022-03-15 Published:2022-04-02
  • Supported by:
    Special Project of the Ministry of Science and Technology of China(20193ABC03A040);National Natural Science Foundation of China(61501197);Jiangxi Provincial Innovation and Entrepreneurship High-Level Talents "Thousand Talents Program" Innovative Talents Long-Term Project(S2018LQCQ0554);Macao Youth Scholars Program(AM201921);The Laboratory of Nanophotonic Function Materials and Devices of Guangdong(91180198)


The PET detector uses SQL sampling circuit to process scintillation pulse and fix the quantization level. The electric flipping caused by zero noise leads to abnormal heat of the voltage comparator for a long time, and the lower quantization level cannot be set, which limits the improvement of the detector's coincidence timing resolution. This study proposes a flicker pulse processing method based on feedback adjustment, which uses the switching characteristics of the transistor in the saturation state to perform feedback adjustment on the SQL quantitative samples. The delay element is used to delay and synchronize the quantized samples to generate a quantized level that can vary with the logic level of the sample, avoiding the influence of zero-point noise on the SQL sampling circuit. The experimental results show that compared with the original SQL sampling circuit, the optimized SQL sampling circuit reduces the amount of samples by 29% in the same time, and coincidence timing resolution is improved by 179.3ps, which reduces the useless power of PET detector and improves the coincidence timing resolution of PET system.

Key words: PET, scintillation pulse, SQL, signal processing, sampling circuit design, feedback adjustment, coincidence timing resolution, performance optimization

CLC Number: 

  • TP391