M-sequence-coded excitation for magneto-acoustic imaging

  • Shunqi Zhang
  • Ren Ma
  • Tao Yin
  • Zhipeng LiuEmail author
Original Article


Magneto-acoustic imaging is a novel functional imaging method to electrical characteristics of tissue. It provides valuable tools for diagnosing early stage tumor and monitoring bioelectrical current. Common single short-pulse excitation limits SNR due to the short-pulse duration and low power of magneto-acoustic signal. In this study, we propose M-sequence-coded excitation and pulse compression approach to improve SNR of magneto-acoustic imaging. Simulations on the magneto-acoustic signal under different bit lengths M-sequence-coded excitation are performed. Experiments on the samples made of pork and graphite slices are done to validate the proposed coded excitation method. The SNR and sidelobe levels were investigated. The results showed when 7, 15, 31, 63, 127 bits M-sequence-coded excitations were applied onto the samples, SNR was improved by 17.4 dB, 24.2 dB, 30.6 dB, 37.6 dB, and 40.1 dB, respectively. For a similar SNR improvement, the total used time under coded excitation can be shortened to 9.4% under the single pulse excitation. The result indicates the M-sequence-coded excitation approach is effective to improve the magneto-acoustic signal SNR and shorten the imaging time.

Graphical abstract

SNR of the magneto-acoustic signal is significantly improved by the coded excitation than the pulse excitation, the reconstructed image of the front and back boundary of the pork can be seen clearly under the 7, 15, 31, 63, 127 bit M-sequence-coded excitations.


Magneto-acoustic imaging M-sequence code Signal-to-noise ratio (SNR) Pulse compression 



Z Liu would like to thank Dr. Cheng Yi for his assistance in editing the language of this manuscript.

Funding information

This study was supported by the Grants from the National Natural Foundation of China (61501523, 81772004), CAMS Initiative for Innovative Medicine (2017-I2M- 3-020), and National Natural Foundation of Tianjin (17JCZDJC32400).


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Copyright information

© International Federation for Medical and Biological Engineering 2018

Authors and Affiliations

  1. 1.Institute of Biomedical EngineeringChinese Academy of Medical Sciences & Peking Union Medical CollegeTianjinChina

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