摘要
目的为评估正电子发射型磁共振成像系统(Positron Emission Tomography/Magnetic Resonance Imaging,PET/MR)设备性能提供依据,分析PET/MR质量控制检测与评价方法。方法使用P-2000型PET性能模体与Magphan SMR 170型MR性能模体等质控工具对3种不同型号的4台PET/MR设备进行现场测试,并制订11个性能指标的检测方法与评价限值。结果根据检测与评价标准及专家讨论,有2台设备的PET空间分辨力、1台设备的PET灵敏度、2台设备的声学噪声及1台设备的图像融合度不合格,其余检测结果均合格。结论本研究建立的检测方法重复性好,便于现场操作,评价限值科学合理,检测与评价方法具有普适性,检测数据准确可靠,得出的评价结论有效。
Objective To provide the basis for evaluating the performance of positron emission tomography/magnetic resonance imaging(PET/MR)equipment,to analyze the PET/MR quality control test and evaluation method.Methods Quality control tools such as P-2000 PET performance module and Magphan SMR 170 MR performance module were used to conduct field tests on four sets of PET/MR equipment of three different models,and the detection methods and evaluation limits of 11 performance indicators were formulated.Results According to the inspection and evaluation standards and expert discussion,the PET spatial resolution of two devices,sensitivity of one device,acoustic noise of two devices and image fusion degree of one device were not qualified,and the other test results were qualified.Conclusion The inspection method established in this study has good repeatability,which is convenient for field operation,and the evaluation limits is scientific and reasonable,the detection and evaluation methods are universal,detection data is accurate and reliable,and evaluation conclusion is effective.
作者
路鹤晴
李树晗
钱顺鑫
由杨
任天钰
苏琦
夏明琛
章浩伟
LU Heqing;LI Shuhan;QIAN Shunxin;YOU Yang;REN Tianyu;SU Qi;XIA Mingchen;ZHANG Haowei(Department of Equipment,Shanghai First Maternity and Infant Hospital,Shanghai 200092,China;School of Health Science and Engineering,University of Shanghai for Science and Technology,Shanghai 200082,China;Department of Equipment,Huashan Hospital Fudan University,Shanghai 200040,China)
出处
《中国医疗设备》
2023年第4期40-47,共8页
China Medical Devices
基金
国家自然科学基金面上项目(82073474)
上海市科技创新行动计划项目(21S31902100)
上海市卫生健康委卫生标准预研制项目(2020WB16)。
关键词
正电子发射型磁共振成像系统
性能检测
质量控制
评价方法
图像融合度
positron emission tomography/magnetic resonance imaging
performance test
quality evaluation
evaluation method
degree of image fusion