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A Novel Peak Picking Multi-Voltage Threshold Digitizer for Pulse Sampling

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单位: [1]Huazhong Univ Sci & Technol, Dept Biomed Engn, Wuhan 430074, Peoples R China [2]Huazhong Univ Sci & Technol, Sch Software Engn, Wuhan 430074, Peoples R China [3]Huazhong Univ Sci & Technol, Tongji Hosp, Dept Clin Sch Affiliated 2, Wuhan 430074, Peoples R China [4]China Acad Engn Phys, Inst Fluid Phys, Mianyang 621900, Peoples R China [5]Huazhong Univ Sci & Technol, Wuhan Natl Lab Optoelect, Wuhan 430074, Peoples R China
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关键词: Multi-voltage threshold (MVT) particle physics peak-picking positron emission tomography (PET) scintillation pulse

摘要:
The multi-voltage threshold (MVT) method employs comparators and time-to-digital converters to acquire the samples of a scintillation pulse when it crosses voltage thresholds and recovers the pulse using a prior model. It serves as a versatile pulse digitizing method in particle physics applications, including positron emission tomography (PET) and proton therapy verification. In these applications, the performance of the MVT method is sensitive to voltage threshold settings, leading to deteriorating energy resolution (ER) if the voltage thresholds are not selected for optimized pulse recovery. In this article, we propose a peak-picking MVT (PP-MVT) method that acquires the time and voltage of a pulse peak and recovers the pulse with MVT samples and peak information. Based on a dataset acquired from an LYSO/SiPM PET detector, we evaluate the performance of the two methods under four typical voltage threshold settings. The results show that the worst ER achieved by this method is 13.2%@511 keV, while that achieved by the MVT method is 16.3%@511 keV. Moreover, we implement a preliminary 1-channel peak-picking circuit, which has successfully captured the peak voltages of scintillation pulses. Based on this circuit, we are currently developing a 36-channel PP-MVT digitizer, where the readout unit is multiplexed, thus improving the ER of PET systems with little extra hardware complexity.

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出版当年[2023]版:
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大类 | 2 区 医学
小类 | 2 区 核医学
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出版当年[2022]版:
最新[2023]版:
Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

影响因子: 最新[2023版] 最新五年平均 出版当年[2022版] 出版当年五年平均 出版前一年[2021版] 出版后一年[2023版]

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第一作者单位: [1]Huazhong Univ Sci & Technol, Dept Biomed Engn, Wuhan 430074, Peoples R China
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通讯机构: [1]Huazhong Univ Sci & Technol, Dept Biomed Engn, Wuhan 430074, Peoples R China [5]Huazhong Univ Sci & Technol, Wuhan Natl Lab Optoelect, Wuhan 430074, Peoples R China
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