Diagnostic technique based on firefly algorithm for fault of MR coil of MRI equipment with superconductivity
10.3969/j.issn.1672-8270.2025.11.007
- VernacularTitle: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
- Author:
Xucheng HUANG
1
;
Xiangdi YANG
;
Xulun ZHANG
;
Dandan LIN
;
Yizhou ZHUO
;
Chi JIN
;
Zhizhi WU
Author Information
1. 乐清市人民医院医学工程科 乐清 325600
- Publication Type:Journal Article
- Keywords:
Magnetic resonance imaging(MRI);
Coil fault;
Deconvolution method of minimum entropy;
Firefly algorithm;
Diagnosis for fault;
Signal enhancement
- From:
China Medical Equipment
2025;22(11):50-55
- CountryChina
- Language:Chinese
-
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.
