1 School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China; 2 Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou 510515, China
Abstract:Small animal positron emission tomography (PET) is of great significance in pre-clinical studies such as pharmacokinetics, new drug development, and therapeutic evaluation, but the quantitative accuracy of small animal PET is still limited by the lack of spatial resolution and sensitivity performance of the detector. In order to develop small animal-specific PET detectors with high-performance, this paper proposed a new construction solution with ″small-diameter, large-axial-span″ and used Monte Carlo simulation technology to verify and evaluate the prototype. The designed prototype consists of 60 crystal detection modules divided into five continuous twelve-sided detection rings. The central diameter and axial field of view of the scanner was 102 mm and 125.4 mm, respectively, so it has a maximum photon reception angle of 50.8 degrees. A simulation model of the prototype was established using the GATE platform, and its spatial resolution, counting performance (scatter fraction and noise equivalent count rate), detection sensitivity and imaging quality were pre-evaluated and analyzed. Results showed that the prototype had a spatial resolution of 1.62 mm, a detection sensitivity of 9.26%, a scatter fraction of 20.8, and a noise equivalent count rate of 2256 kcps. The overall performance was similar to that of Siemens Inveon PET system, and the sensitivity and NECR performance was improved by 21.36% and 35.14%, respectively. The simulation results based on the GATE platform showed that the design of “small diameter and large axial field of view” could significantly improve the detection sensitivity of small animal PET systems and was expected to further improve the quantitative accuracy of small animal PET applications.
黄衍超, 朱火彪, 路利军, 冯前进. 基于GATE的小动物PET原型机仿真验证与性能评估[J]. 中国生物医学工程学报, 2020, 39(3): 318-326.
Huang Yanchao, Zhu Huobiao, Lu Lijun, Feng Qianjin. Simulation Verification and Performance Evaluation of Small Animal PET Prototype Using GATE. Chinese Journal of Biomedical Engineering, 2020, 39(3): 318-326.
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