Pulse identification method based on three-channel cross check

Through the three-channel cross-check pulse recognition method, using deconvolution technology and threshold design, the pulse recognition problem in high noise and high counting rate environments is solved, accurate pulse recognition and time positioning are achieved, and the false recognition rate is reduced.

CN120685210AActive Publication Date: 2025-09-23CHANGCHUN INST OF OPTICS FINE MECHANICS & PHYSICS CHINESE ACAD OF SCI
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Patent Information

Application Number
CN202510747243.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-05
Publication Date
2025-09-23
Estimated Expiration
2045-06-05

AI Technical Summary

Technical Problem

Existing technologies cannot accurately identify pulses in environments with high baseline fluctuations, high count rates, and high noise, resulting in high false positive and missed positive rates.

Method used

A pulse recognition method based on three-channel cross-verification is adopted. The signal is processed by deconvolution technology, and single and double thresholds are designed for cross-recognition. The time interval and amplitude of the pulse event are combined to extract the width to distinguish between piled-up and non-pile-up pulses.

Benefits of technology

The automatic selection of pulse recognition threshold is realized, which improves the stability and accuracy of recognition, reduces the false recognition rate, and is suitable for high noise and high counting rate environments.

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Abstract

The invention belongs to the technical field of photon counting imaging, and particularly relates to a pulse recognition method based on three-channel cross check. Comprising the following steps: S1, acquiring signal sequences of three channels with synchronous time sequences output by a charge sensitive amplifier, and preprocessing the signal sequence of each channel to obtain respective deconvolution signals of the three channels; s2, designing thresholds based on respective deconvolution signals of three channels of time sequence synchronization, and performing three-channel cross identification on each pulse event by using the thresholds to obtain a stacking discrimination group and an amplitude extraction group; and S3, recording the pulse events of which the amplitudes are to be extracted into a non-accumulation amplitude extraction group by utilizing the relationship among the time interval of each pulse event, the pulse forming width and the amplitude extraction width, and obtaining the three-channel pulse amplitudes of each pulse event contained in the non-accumulation amplitude extraction group. According to the invention, the debugging time cost is saved, and the result instability caused by human factors is also reduced.
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Citation Information

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