An intelligent daily quality control method and system for lyso crystal pet

Abstract

The invention provides an intelligent daily quality control method for LYSO crystal PET, and relates to the technical field of PET quality control. The method comprises the steps: intelligent data collection: collecting LYSO background data according to preset data collection parameter information, and storing the LYSO background data; data intelligent analysis and processing: performing statistics on information in the data to obtain a three-dimensional heat statistical graph, sending the three-dimensional heat statistical graph to a pre-trained deep learning neural network for diagnosis, obtaining an abnormal diagnosis result, and generating a DailliyQC report; and data decision and early warning: classifying the diagnosed abnormal conditions, judging whether the abnormal conditions influence the overall performance and reach the danger level or not, giving a danger alarm for the abnormal conditions reaching the danger level, and recording the abnormal conditions which do not reach the danger level and do not influence the overall performance. According to the method, an extra radioactive source is not needed, on-site operation of an operator is not needed, the data acquisition,processing, analysis and automatic identification of the DailliyQC are automatically realized, and the decisions and early warning are made.

Description

technical field [0001] The invention relates to a PET quality control technology, in particular to an intelligent daily quality control method and system for LYSO crystal PET. Background technique [0002] Positron emission tomography (PET) is a nuclear medicine imaging device. A general PET system is mainly composed of a detector system, an electronics system, a data correction system and a reconstruction system. Among them, the electronics system is the most important part of the entire PET hardware, as the main body of the hardware directly determines the basic performance parameters of PET. The processing process of the PET signal is roughly as follows. The crystal in the detector system mainly collects the information of the gamma photons generated by the radioactive tracer, converts it into a large amount of visible light, and then the photoelectric conversion device converts the visible light into a large amount of electrons to form a current. The signal is input to...

AI Technical Summary

Problems solved by technology

[0005] It can be seen from the above that the data collection of DailyQC requires radioactive sources, and the purchase, use and storage of radioactive sources require a complete set of legal and regulatory procedures, which have strict technical requirements for operators (the basic requirements must be professional radioactive workers), Moreover, some links in data collection strongly depend on the operation and experience of technicians, and the whole test process is relatively cumbersome and complicated, requiring personnel to work in a radioactive environment, which has certain risks

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