中文摘要：

目的设计和研究全数字化小动物PET符合探测系统，并对其进行初步性能评估。方法采用基于单事件列表式数据的符合判选模式，运用数字信号处理技术对单事件数据集进行晶格分割、能量校正、时间校正以及符合事件判断等操作，获取可供图像重建使用的数据。结果硅酸钇镥闪烁晶体（LYSO）晶体阵列点阵图可清晰分辨13×13个晶格点。Micro—Derenzo假体符合时间分布图的半高全宽为1．36ns。Micro—Derenzo假体重建图像可清晰分辨直径为1．2mm的小孔。结论硬件软件化的符合探测模式可以提供满意的性能指标，满足全数字化小动物PET的设计需求。

英文摘要：

Objective To investigate and design a coincidence detection system for an all-digital small animal PET scanner and evaluate its preliminary performance properties. Methods This coincidence module adopted a coincidence identification mode based on singles data in list-mode. Using digital signal processing technology, energy calibration, crystal identification, timing alignment and coincidence events extraction were performed on singles data in list-mode. The obtained data could be used for image recon- struction. Results The 13 × 13 crystal array was well recognized by the position histogram of one lutetium yttrium orthosilicate （LYSO） crystal block. In the coincidence timing histogram of the micro-Derenzo phantom, 1.36 ns full width at half maximum was obtained. The rods with a diameter of 1.2 mm were clearly displayed in the reconstructed image of the micro-Derenzo phantom. Conclusion The coincidence module can provide satisfactory performance to meet the design needs of an all-digital small animal PET scanner.