• 1. Medical Image College, North Sichuan Medical College, Nanchong, Sichuan 637000, P.R.China;
  • 2. Alltech Medical Systems, LLC, Chengdu 611730, P.R.China;
ZHU Yuanzhong, Email: yz_zhu@163.com
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Pulsed magnetic field gradients generated by gradient coils are widely used in signal location in magnetic resonance imaging (MRI). However, gradient coils can also induce eddy currents in final magnetic field in the nearby conducting structures which lead to distortion and artifact in images, misguiding clinical diagnosis. We tried in our laboratory to measure the magnetic field of gradient-induced eddy current in 1.5 T superconducting magnetic resonance imaging device; and extracted key parameters including amplitude and time constant of exponential terms according to inductance-resistance series mathematical module. These parameters of both self-induced component and crossing component are useful to design digital filters to implement pulse pre-emphasize to reshape the waveform. A measure device that is a basement equipped with phantoms and receiving coils was designed and placed in the isocenter of the magnetic field. By applying testing sequence, contrast experiments were carried out in a superconducting magnet before and after eddy current compensation. Sets of one dimension signal were obtained as raw data to calculate gradient-induced eddy currents. Curve fitting by least squares method was also done to match inductance-resistance series module. The results also illustrated that pulse pre-emphasize measurement with digital filter was correct and effective in reducing eddy current effect. Pre-emphasize waveform was developed based on system function. The usefulness of pre-emphasize measurement in reducing eddy current was confirmed and the improvement was also presented. All these are valuable for reducing artifact in magnetic resonance imaging device.

Citation: HE Wenjing, ZHU Yuanzhong, WANG Wenzhou, ZOU Kai, ZHANG Kai, HE Chao. Quantitative experiment and analysis of gradient-induced eddy currents on magnetic resonance imaging. Journal of Biomedical Engineering, 2017, 34(2): 220-226. doi: 10.7507/1001-5515.201506059 Copy

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