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Objective Ultrasound inverse scattering possesses high clinical application value due to its characteristics of high spatial resolution and contrast. Conventional reconstruction methods based on inverse theory usually deteriorate the system stability and need a large amount of sampled data. Based on inverse scattering theory,we reconstruct the object under compressed sensing (CS) framework to reduce the amount of data processing and enhance the stability of the reconstruction system. Methods Firstly,we formulate the forward scattering model from time and frequency domain respectively. Secondly,we propose the data acquisition scheme to obtain projection data. Thirdly,the inverse problem under CS theory is formulated based on the sparsity of the object. Finally,the inverse problem is solved,and the cyst and point objects are constructed. Results The CS approach can faithfully reconstruct the object,the sample data is reduced 50% and 76% for cyst and point object,respectively. Conclusions The CS approach can reduce the amount of data processing,enhance the stability of the inverse problem. Compared to conventional methods such as delay and sum,synthetic aperture,the CS approach improves spatial resolution and contrast.