中国医学装备2025，Vol.22Issue(11)：50-55,6.DOI:10.3969/j.issn.1672-8270.2025.11.007
基于萤火虫算法的超导MRI设备磁共振线圈故障诊断技术研究
Diagnostic technique based on firefly algorithm for fault of MR coil of MRI equipment with superconductivity
摘要
Abstract
Objective:To explore a method that can improve the detecting accuracy for faults of magnetic resonance(MR)through diagnostic technique based on firefly algorithm for fault of MR coil of magnetic resonance imaging(MRI)equipment with superconductivity,so as to enhance the performance and reliability of MRI equipment.Methods:A diagnosis technique for fault of MR coils in MRI equipment with superconductivity was proposed.Wavelet basis function was used to decompose initial vibration signals,and they were separated into resonance components with high-frequency and that with low-frequency,so as to enhance signal purity.The signal entropy value of deconvolution became the minimum value through iteratively adjusted the filter's coefficients,and identified the optimal system function of inverse filter,thus,to effectively recover the resonance characteristic of initially high and low frequency.A multi-objective function,which integrated entropy value of low-resonance component,smoothness and the differentiation of that with high-resonance components,was constructed.An improved firefly algorithm was introduced to combine linearly decreasing inertia weight factor,and simulate the process of swarm intelligence optimization,so as to realize global search and precise identification for faults'characteristics.Finally,the optimally diagnostic result was outputted.Results:The diagnostic technique based on firefly algorithm for fault of MR coil of MRI equipment with superconductivity can effectively decompose and enhance the original signal,and significantly suppress the interference of background noise.The algorithm can approach the true solution of the fault,which only need 298 iterations through global search for the combination of faults'features and diagnostic parameters.It can realize accurate identification for the faults of MR coil.Conclusion:The diagnostic technique,which based on firefly algorithm for fault of MR coil of MRI equipment with superconductivity,appears obvious advantages on diagnostic accuracy and convergence speed.It can provide a feasible approach for rapid diagnosis for fault of MRI equipment with superconductivity.关键词
磁共振成像(MRI)/线圈故障/最小熵解卷积方法/萤火虫算法/故障诊断/信号增强Key words
Magnetic resonance imaging(MRI)/Coil fault/Deconvolution method of minimum entropy/Firefly algorithm/Diagnosis for fault/Signal enhancement分类
医药卫生引用本文复制引用
黄旭程,杨襄迪,张旭伦,林丹丹,卓奕舟,金赤,吴芝芝..基于萤火虫算法的超导MRI设备磁共振线圈故障诊断技术研究[J].中国医学装备,2025,22(11):50-55,6.基金项目
乐清市社会发展(医药卫生类)科技项目(2024R011) Yueqing Municipal Social Development(Medical and Health Category)Science and Technology Project(2024R011) （医药卫生类）
