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In order to obtain real-time stable and high-resolution quasi-static elastography in clinic, frame pair construction module, frame pair screening module, elastic calculation module and elastic frame correlation processing module are added in the design of elastic imaging system. In the frame pair construction and frame pair screening module, the frame pair pre screening scheme and evaluation method are designed, which can automatically eliminate the wrong frame data with less calculation. On the one hand, it reduces the dependence on the operation method, on the other hand, it promotes the stability of the elastic image output. In the elastic computing module, the two-dimensional autocorrelation algorithm is used to calculate the elastic strain value, which can be realized High resolution elastic imaging; elastic frame correlation processing module does frame correlation processing for multiple elastic images to further ensure the stability of elastic image output. Clinical breast and thyroid lesions detection results show that the system design can achieve real-time stable, high-resolution (1.5mm) elastic imaging output with a frame rate of 18 frames per second, and can provide valuable auxiliary diagnostic information for clinicians.