目的 研发脑科学科研磁共振成像(Magnetic Resonance Imaging,MRI)质量控制系统,探讨其在日常质量控制管理中的应用价值.方法 在2020年9月至2022年3月期间对西门子Verio磁共振采集50次水模质量控制数据,计算主磁场(B0场)不均匀性、信噪比、图像均匀度、奈奎斯特伪影、几何畸变、弥散各向异性分数、功能磁共振成像(Functional Magnetic Resonance Imaging,fMRI)波动和漂移百分比、fMRI信号波动噪声比、fMRI频谱分析.结果 数据可自动经由软件计算以图表的形式呈现,除了2021年9月10日(梯度线圈损坏)与2022年1月14日(32通道线圈损坏)出现两次明显异常波动,各参数在质控周期内均以相对稳定的数值在合理范围内上下波动.通过对设备长期的质控,设立基线,一旦发现异常,及时分析报修处理,比较设备维修前后差异,保证设备处于正常稳定状态.结论 该质量控制系统能直观、有效地对MRI设备进行日常质量控制,及时发现故障,锁定方向,保证MRI设备正常运行,为磁共振弥散张量成像和fMRI实验数据质量提供保障.
Development and Application of MRI Quality Control System for Scientific Research
Objective To develop magnetic resonance imaging(MRI)quality control system for brain science research and explore its application value in daily quality control management.Methods Water mode quality control data were collected 50 times for Siemens Verio MRI from September 2020 to March 2022.B0 field inhomogeneity,signal to noise ratio,image uniformity,ghost ratio,geometric distortion,fractional anisotropy,fluctuation and drift percentage of functional magnetic resonance imaging(fMRI),fMRI signal fluctuation to noise ratio and fMRI spectral analysis were calculated.Results The data could be automatically presented in the form of charts by software calculation,and all parameters fluctuated within a reasonable range with relatively stable values during the quality control period,except for two obvious abnormal fluctuations on September 10,2021(gradient coil damage)and January 14,2022(32-channel coil damage).Through long-term quality control of equipment,the baseline was set.Once any abnormality was found,the timely analysis and repair treatment,and the differences before and after equipment maintenance was compared to ensure that the equipment was in a normal and stable state.Conclusion The quality control system can intuitively and effectively control the daily quality of MRI equipment,find faults in time,lock the direction,ensure the normal operation of MRI equipment,and provide guarantee for the quality of diffusion tensor imaging and fMRI experimental data.
brain sciencemagnetic resonance imagingquality controlscientific research data
国家科技期刊平台
NSTL
万方数据
维普
