When human tissue is irradiated by microwave pulses, there is thermo2acoustic signal due to heat expansion. Considering the safety, the power of microwave pulse can not be too large. Therefore, the amp litude of the induced thermo2acoustic signal is very low, and the SNR ( signal to noise ratio) of the p iezoelectric signal from ultrasonic transducer is very low without p reamp lifier in the transducer. In this paper, a soft2thresholding filteringmethod was used to p rocess the thermo2acoustic signal which was acquired from an electromagnetic induced thermo2acoustic tomography ( EM ITA) system without p re2amp lifier in the transducer. Itwas shown that the signal’s SNR was greatly imp roved, and locations of the reconstructed signal pulses agreea verywellwith the theoretical results. This research indicates thatwavelet analysismethod can greatly imp rove the SNR of the EM ITA signal and may decrease the requirement to p reamp lifier

Waveletanalysisusingsofthresholdingfilteringinlectromagnetic.pdf

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