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• Technical Article •
The secondary path modeling for fMRI scanning noise active control system
LIU Xiao-jing  ZHAO Chao  JU Lei  XU Jun-cheng  JIANG Yu 

DOI:10.12015/issn.1674-8034.2018.09.007.


[Abstract] Objective: An additive gaussian white noise off-line modeling method is proposed for estimating the transfer function of secondary path.Materials and Methods: The acquisition program is implemented based on LabVIEW FPGA terminal. Then the acquired signal is transmitted to the host computer where the secondary path modeling program is achieved. Finally, the active noise control system simulation program is developed relying on the estimated parameters of the secondary path transfer function during the running of simulation program in the host computer.Results: The estimation of the secondary path transfer function is acquired. Finally around 19 dB (compared with primary noise) noise reduction can be achieved in the simulation of the active noise control system.Conclusions: The secondary path modeling and the active noise control system simulation program are accomplished based on LabVIEW software, which provides a good platform for the noise of real-time controlling.
[Keywords] Magnetic resonance imaging；Active noise control technique；Secondary path modeling；Filter-x least mean square

LIU Xiao-jing Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Materials Science, East China Normal University, Shanghai 200062, China

ZHAO Chao Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Materials Science, East China Normal University, Shanghai 200062, China

JU Lei Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Materials Science, East China Normal University, Shanghai 200062, China

XU Jun-cheng Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Materials Science, East China Normal University, Shanghai 200062, China

JIANG Yu* Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Materials Science, East China Normal University, Shanghai 200062, China

*Correspondence to: Jiang Y, E-mail: yjiang@phy.ecnu.edu.cn

Conflicts of interest   None.

ACKNOWLEDGMENTS  This work is part of National High Technology Research and Development Program of China (863 Program) No. 2014AA123401
Received  2018-03-23
Accepted  2018-05-02
DOI: 10.12015/issn.1674-8034.2018.09.007
DOI:10.12015/issn.1674-8034.2018.09.007.

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