Feasibility of optimizing acquisition time of 18F-FDG PET with BSREM reconstruction algorithm
ZHANG Tingjie1, CHEN Wei1, LU Honghui1, LIU Ming1, XIE Wanming1, LIANG Ying1,2
1. National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen 518116 China; 2. National Cancer Center/ National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021 China
摘要目的 比较不同采集时间下分块顺序正则化期望最大化(BSREM)算法较有序子集期望最大化(OSEM)算法对18F-FDG PET图像质量的影响,探讨其优化采集时间的可行性。方法 模体实验采用NEMA/IEC PET 模体,临床研究中连续收集2020年3—9月因肺结节行18F-FDG PET-CT检查患者61例(66个高摄取肺结节)。模体实验和临床研究均以不同采集时间按BSREM和OSEM算法重建PET图像。比较上述序列的变异系数(CV)、信噪比(SNR)、对比噪声比(CNR)、活度测量值(模体实验为摄取值UV;临床研究为标准摄取值SUV)差异。结果 模体实验显示120 s BSREM序列图像质量优于120 s OSEM序列,75 s BSREM序列与120 s OSEM序列相仿。临床研究显示120 s BSREM序列图像质量优于120 s OSEM序列,且75 s BSREM序列较120 s OSEM序列略优。结论 PET模体实验和肺部高摄取结节临床研究中,应用BSREM算法较OSEM算法明显改善图像质量,75 s BSREM序列图像质量较120 s OSEM序列略优。
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