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基于信息熵的磁共振成像设备性能评估的研究
引用本文:储呈晨,季智勇,李斌.基于信息熵的磁共振成像设备性能评估的研究[J].中国医学装备,2022(2):40-45.
作者姓名:储呈晨  季智勇  李斌
作者单位:上海交通大学附属第六人民医院医学装备处;上海交通大学中国医院发展研究院医院经营研究所
基金项目:国家重点研发计划(2019YFC0121805)“大数据分析和战略规划支撑应用研究”;国家重点研发计划(2016YFC0106803)“工程性能评价”。
摘    要:目的:评估磁共振成像(MRI)设备的性能状态,实施MRI设备的质量保证和质量控制方案,为诊断疾病提供优质的图像.方法:将模糊数学和信息熵方法引入MRI设备的性能分析中,通过分析MRI设备的图像质量综合评价指标数据,建立多参数的MRI设备性能评估模型.选择医院门诊楼内MRI设备(MRI设备-1)和医技楼MRI设备(MRI...

关 键 词:磁共振成像设备  性能评估  信息熵  质量控制(QC)

Research of performance assessment of MRI equipment based on information entropy
CHU Cheng-chen,JI Zhi-yong,LI Bin.Research of performance assessment of MRI equipment based on information entropy[J].China Medical Equipment,2022(2):40-45.
Authors:CHU Cheng-chen  JI Zhi-yong  LI Bin
Institution:(Department of Medical Equipment,Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University,Shanghai 201306,China;Institute for Hospital Management,Academy for Development and Research of Hospital in China,Shanghai Jiao Tong University,Shanghai 200233,China;不详)
Abstract:Objective:To assess the performance states of magnetic resonance imaging(MRI)equipment and implement the schemes of quality assurance and quality control of MRI equipment so as to provide the images with high quality for the diagnosis of disease.Methods:The methods of fuzzy mathematics and the information entropy were introduced into the performance analysis of MRI equipment to establish performance assessment mode of MRI equipment with multi-parameter through analyze the data of comprehensive evaluation indicator of image quality of MRI equipment.The MRI equipment(MRI equipment-1)in outpatient build and that(MRI equipment-2)in medical technique build of hospital were selected respectively.The entropy weight fuzzy evaluation was adopted to process the selected parameters of two groups included head coil and body coil as the indicators of performance states of MRI equipment,respectively.And the data of the tested state indicators of two groups within 6 months were used to implement consistency check for 5 performance indicators included signal-noise ratio(SNR),evenness,layer thickness,high contrast spatial resolution and geometric distortion rate,so as to verify the validity of the scheme of quality control.Results:The consistencies of the two groups of data of head coil and body coil imaging were higher,and the validity of the QC scheme was verified.The tested samples of two groups within 6 months were consistent with the analysis results of mode and the condition of actual maintenance.Conclusion:The established evaluation mode with multi-parameter can lay a solid foundation for the decision-making process of condition-based maintenance(CBM)of system,and it can improve the accuracy of performance condition assessment of MRI equipment.It is contribute to formulate the optimal maintenance schedule for MRI equipment,and enhance the levels of trouble removal and maintenance for MRI equipment,and provide guarantee for the accuracy of clinical diagnosis.
Keywords:Magnetic resonance imaging(MRI)  Performance assessment  Information entropy  Quality control(QC)
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