Compressive Ultrasound Imaging Based on Analog to Information Conversion

Abstract

The paper proposes a compressive sensing method adapted to ultrasound imaging, following the recently developed Analog to Information (AIC) framework. First, basis functions in time domain based on waveform were constructed to achieve sparse signal representation. Second, utilizing the basis functions and using AIC framework, a system is designed with lowered the sampling rates and reduced the total data size of ultrasound imaging. The results show that in the experiment the sampling rate below Nyquist frequency and only 30% amount of data are used to implement ultrasound imaging without reducing the quality of image. The sampling rate is lowered and the amount of data is reduced greatly by the proposed method based on compressive sensing.