基于多约束条件最优规划模型的医疗磁共振成像设备智能质量控制管理研究

Research on intelligent control management of medical magnetic resonance imaging equipment based on multi-constraint optimal programming model

目的:研究基于多约束条件最优规划模型的磁共振成像(MRI)设备质量控制管理方法,以提升MRI设备的利用效率和成像效果。方法:通过MRI设备超导磁体载流区网格化,计算超导材料总长度,建立(MRI)超导磁体最优规划模型并设置约束条件,通过求解该模型得到超导磁体最优规划结果实现MRI设备质量控制;以MRI设备最小扫描时间为目标函数,建立MRI设备精细化管理模型,实现MRI设备使用时间规划。采用模糊集理论对2022—2023年东南大学附属中大医院溧水分院临床在用的6台MRI设备,按照MRI设备成像质量由高到低划分为优、良、中、中下和差5个等级标准,对超导磁体成像磁场均匀度、采集的10幅MRI图像均匀度、几何畸变率和月扫描总人数进行质量控制管理效果检验。结果:基于多约束条件最优规划模型的MRI设备质量控制管理方法后,所检设备磁场均匀度等值线的最大数值由15 ppm降到5 ppm;采集的10幅MRI图像均匀度效果检验等级有2幅为良,8幅为优,均达到MRI成像技术标准;MRI成像几何畸变率均值始终位于-0.5%~0,对应检验等级为优;所检设备月扫描人体次数均高于质量控制管理前,尤其是下肢扫描次数由质量控制管理前的607次提高到821次,多出214次。结论:基于多约束条件最优规划模型的MRI设备质量控制管理方法能够有效提高MRI设备质量和控制管理水平,优化MRI设备维护和管理流程,提高设备运行效率,降低运营成本。

Objective:To study the quality control management method of magnetic resonance equipment based on multi-constraint optimal programming model,and to improve the utilization efficiency and imaging effect of magnetic resonance imaging(MRI)equipment.Methods:By gridding the current carrying area of the superconducting magnet of magnetic resonance equipment,the total length of the superconducting material was calculated,and the optimal programming model of the magnetic resonance superconducting magnet was established with constraints set.The optimal programming results of the superconducting magnet was obtained by solving the model to achieve quality control of the magnetic resonance equipment.Taking the minimum scanning time of magnetic resonance equipment as the objective function,a refined management model of magnetic resonance equipment was established to realize the time planning for the use of magnetic resonance equipment.Using fuzzy set theory,the six magnetic resonance equipment in clinical use in Lishui Branch of Zhongda Hospital Southeast University from 2022 to 2023 was divided into five grades according to the imaging quality of magnetic resonance equipment,including excellent,good,average,below average and poor.The quality control management effect was evaluated from the uniformity of the superconducting magnet imaging magnetic field,the uniformity of 10 magnetic resonance images,the geometric distortion rate,and the total number of monthly scans.Results:After the implementation of the quality control management method for magnetic resonance equipment based on the multi-constraint optimal programming model,the maximum value of the magnetic field uniformity contour of the tested equipment was reduced from 15 ppm to 5 ppm;the uniformity test results of the 10 collected magnetic resonance images showed that 2 were good and 8 were excellent,all of which met the technical standards of magnetic resonance imaging;the mean value of geometric distortion rate of magnetic resonance imaging was at-0.5%~0,and the corresponding test grade was excellent;the number of monthly scans of the human body by the tested magnetic resonance equipment was higher than that before the quality control management,especially the number of lower limb scans increased from 607 times before the quality control management to 821 times,with an increase of 214 times.Conclusion:The quality control management method for magnetic resonance equipment based on multi-constraint optimal programming model can effectively improve the quality and control management level of magnetic resonance equipment,optimize the maintenance and management process of magnetic resonance equipment,improve equipment operation efficiency,and reduce operating costs.