Improving Signal-to-Noise Ratio and Imaging Speed in Magneto-Acoustic Imaging using Coded Excitation
Keywords:
Magneto-Acoustic Imaging, Signal-to-Noise Ratio, Coded Excitation, Imaging SpeedAbstract
In the field of early tumor diagnosis, magneto-acoustic imaging based on the magneto-acoustic effect provides valuable information about tissue characteristics. However, the signal-to-noise ratio (SNR) of the imaging results using the conventional single pulse method is limited, affecting both the imaging quality and speed. To address this limitation, we propose a processing method that utilizes coded excitation and pulse compression to enhance the SNR in magneto-acoustic imaging. Specifically, we introduce the widely-used Barker code, known for its effectiveness in ultrasonic signal processing, to improve the SNR of the magneto-acoustic signal. Through simulations on magneto-acoustic and pulse compressed signals under Barker coded excitation with varying bit lengths, we demonstrate the improved SNR achieved with the proposed method. Furthermore, experimental validation using pork and graphite slice samples confirms the effectiveness of the coded excitation approach. The results show that when a 16-bit Barker code is used as the excitation signal, the SNR of the magneto-acoustic signal improves by 20.9 dB. Moreover, compared to the single pulse excitation method, the coded excitation method significantly reduces processing time by 96.1% while achieving similar SNR improvement. In conclusion, the coded excitation method effectively enhances the SNR and imaging quality of magneto-acoustic signals, and it also improves the imaging speed in magneto-acoustic imaging.
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