數(shù)字閃爍探測器
[Abstract]:PET quantified the metabolic levels, biochemical reactions, functional activities and perfusion of various organs in the body by detecting the distribution of radioactive tracers in the living body. According to the sequence of signal flow, PET was divided into detector system, data acquisition system, image reconstruction system and image display and analysis system. It is often made up of multiple scintillation detectors as a ring structure. It is used to capture Gamma particles produced by radioactive tracer decay and form corresponding scintillation pulses. The data acquisition system can obtain the energy deposition information of the particles by analysis of the scintillation pulse and form the consistent data. The distribution of radioactive tracers in the body is shown by the data. In the modern PET system, the data acquisition system usually uses a modular mixed structure. Analog circuits are used to process scintillation pulses, the size, time and position of the particle size, time and position. It is well known that the analog circuit is more sensitive to the magnitude of the scintillation pulse, the duration of the pulse, the frequency range and so on. The data acquisition system needs to be designed according to the characteristics of the scintillation detector. It is difficult to realize complex pulse analysis, processing method, the processing method, the particle energy information is extracted by some simple linear methods and circuits. The performance is excellent, but the algorithm complex pulse processing method can not be applied. The analog circuit system is difficult to cope with the base line drift of the output pulse of the scintillation detector, the event stacking and so on, which limits the system. In recent years, with the development of digital signal processing technology and methods, it is very attractive to digitize scintillation pulses directly and use software algorithms instead of traditional analog circuits to extract particle energy deposition information. The digital scintillation pulse is no longer due to analog electricity in the process of transmission and processing. The signal bandwidth, noise interference and other factors affect the quality of the signal and deteriorate the precision of particle energy deposition information extraction. This is beneficial to the design and development of large and complex systems. The accuracy of particle energy deposition information extraction will also be improved by the application of high performance digital signal processing and square methods: in addition, digital scintillation pulses will be improved. The conditions of lower baseline drift and event stacking can be compensated and corrected in the process of signal processing and analysis, and the performance and stability of the system will be further improved.
Digital scintillation detectors, which combine digital circuits with scintillation detectors, are very promising for digital scintillation detectors with direct output of digital scintillation pulses. The realization of digital scintillation detectors will simplify the structure of the PET system and reduce the difficulty of the development of the system. The rapid development of digital signal processing techniques and methods will also be applied to the scintillation pulse. Analysis and processing to accelerate the development of the PET system. The key to the realization of the digital scintillation detector is the accurate digitization of the scintillation pulse. Under the restriction of the sampling rate and the power consumption, there are many problems such as the difficulty of engineering realization, the expensive hardware cost, the undersampling of the digital pulse and so on. In the case of the particle energy, the method of obtaining the digital scintillation pulse by the sampling rate and the power consumption is limited. In the system of TOF PET, such as high precision of extracting time information, ADC is difficult to apply directly. The method of multi threshold voltage sampling (Multi-Voltage Threshold, hereinafter referred to as hereinafter referred to as MVT) proposed by our group is to digitize the scintillation pulse by sampling the time point of the threshold voltage of the scintillation pulse. The sampling circuit only needs a small amount of comparator and time digital converter. It has the characteristics of little difficulty in engineering development and low cost of hardware. Under this background, this paper is based on the key technology, system architecture and application of digital scintillation detector based on MVT method.
First, the precision of the digital scintillation pulse obtained by the existing MVT sampling method and the extraction precision of the subsequent particle energy deposition information obtained by the unavoidable noise in the falling edge of the scintillation pulse are studied. Although the noise can be filtered through a low pass filter, the extraction precision of the particle energy deposition time information is therefore the result of this. In order to solve this problem, an accurate MVT sampling method is proposed and compared with the particle energy deposition precision obtained from the digital scintillation pulse obtained under the existing MVT sampling method. The precise MVT sampling method realizes the exact digital character of the digital scintillation pulse under the noise interference, and does not deteriorate the energy deposition time letter of the particle. Under the premise of accuracy of extraction, the extraction accuracy of large energy information is effectively improved. The corresponding energy resolution is optimized from original 16.9%@511keV to 13.0%@511keV..
Secondly, an accurate MVT sampling circuit is designed and implemented. The problem that the traditional TDC can not be applied to the precise MVT sampling circuit because of the dead time is solved. A method of using the LVDS receiver to realize the threshold comparator is proposed, which not only improves the integration degree of the MVT sampling circuit, reduces the power consumption of the system, but also improves the time information of the pulse over threshold voltage. The accurate MVT sampling circuit correction method is proposed to solve the problem of the digital precision decline caused by different threshold voltage and time response between different channels in the MVT sampling circuit. The accurate MVT sampling circuit is applied to the digitization of the output pulse of a pair of LYSO/SiPM detectors, and the 13.9%@511keV is finally obtained. The resolution of energy and the time resolution of 438ps.
Thirdly, the architecture of digital scintillation detector is proposed, which is divided into detector unit, digital unit and interface unit according to the sequence of signal flow. The digital scintillation pulse is transmitted through the interface unit. The particle energy deposition information is analyzed by the subsequent digital pulse, and the processing platform is extracted through the analysis of the digital scintillation pulse. The development of the digital scintillation detector for PET, such as the digital pulse analysis and the development of the corresponding algorithms and programs in the processing platform. The realization of the digital scintillation detector reduces the difficulty of the development of PET and other systems. This paper is based on the architecture and the accurate MVT sampling circuit. The implementation of digital scintillation detector has a time resolution of 525ps and an energy resolution of 15.1%@511keV..
Finally, the architecture of digital PET system is proposed. The digital PET imaging system under this architecture has the characteristics of simple system architecture, simple engineering implementation and excellent imaging performance. It provides a technical basis for the application of the adaptive construction of PET imaging system. The system architecture and digital scintillation detectors are adopted. This paper is aimed at the specific application requirements. The design and implementation of three digital PET systems with different imaging fields are completed. A preliminary performance evaluation and prosthesis imaging of the PET system for clinical brain imaging are performed. The spatial resolution of the system is 2.5mmm, time, and energy resolution is compared to the performance of 543ps and 16.3%@ 511keV., respectively, with a single digital PET detector. The performance of the system has not significantly deteriorated. These results preliminarily reveal the advantages of the digital PET detector and the PET imaging system under the digital architecture.
【學(xué)位授予單位】:華中科技大學(xué)
【學(xué)位級別】:博士
【學(xué)位授予年份】:2015
【分類號】:R817
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