Digital pileup waveform processing method and system

Abstract

The invention discloses a digital pileup waveform processing method and a digital pileup waveform processing system. The method comprises the following steps of: determining a pulse rising edge area, and judging whether a pulse has a pileup waveform or not according to a time interval between adjacent pulse rising edges; and dividing a digital waveform determined as pileup according to the risingedge and the falling edge of the pulse, reconstructing single event pulse waveforms in turn by using the divided waveform, and extracting single pulse information from the reconstructed waveforms. The invention also discloses the pileup waveform processing system, which comprises a pileup waveform discrimination module, a pulse waveform division module and a pulse waveform reconstruction module. By the method and the system, the pileup pulse waveform can be effectively discriminated, each single event pulse waveform in the pileup is accurately reconstructed, information such as energy, time, amplitude, decay time constant, position and the like of the single event pulse is accurately recovered, and the counting rate of a system under high activity, and the signal-to-noise ratio of a measuring result are improved.

Description

technical field [0001] The invention belongs to the fields of high-energy particle detection signal processing and digital signal processing, and in particular relates to a digital pileup waveform processing method and system thereof, which can be applied to a high-energy particle detection data acquisition system. Background technique [0002] In most fields of high-energy particle detection, as well as computed tomography (Computed Tomography, hereinafter referred to as CT), positron emission tomography (hereinafter referred to as PET), single photon emission computed tomography (Single Photon Emission Computed Tomography, In the field of medical imaging such as SPECT), the scintillation pulse signals collected and processed by the data acquisition system are converted from high-energy particles (such as γ-rays, X-rays, etc.) electrical signal. [0003] When multiple high-energy particles are captured by the same detector in a short period of time, the signals of multiple...

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Problems solved by technology

Secondly, the judgment of the pileup waveform and the segmentation of the waveform by this method are based on the maximum value of the pulse derivative of the entire frame, which will lead to two main problems: (1) This method cannot judge whether each frame of digital file contains flicker pulses Therefore, before the algorithm is processed, it is necessary to ensure that each digital file is a digital waveform containing a scintillation pulse; (2) when the amplitude of the scintillation pulse is small, this method is very susceptible to the influence of noise on the falling edge of the pulse, and will The normal digital flicker pulse waveform is judged as a pileup waveform, so this method has obvious defects in recovering the pulse position information (the acquisition of the position information is to divide a normal amplitude flicker pulse into four different sizes through a resistor network. Scintillation pulses, obtained by comparing the amplitude (energy) ratio between them, so the amplitudes of these four pulses are all small)

Due to the existence of the above defects, this method cannot be used to establish a real-time pileup processing system

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