Abstract: In this paper,medical ultrasound images are improved by applying Fourier-Wavelet Regularized Deconvolu-tion.The high-order spectra algorithms and the Fourier-Wavelet Regularized Deconvolution algorithm are creatively applied to axial and lateral two-dimension radio frequency signals of the medical ultrasonic diagnose instrument.Firstly,the A-scan system function with a central frequency of 3.5 MHz is approached.Then the RF A-scan signal is de-convoluted.The results of the experiments prove that the technique can significantly improve the degenerated resolu-tion caused by the system function convoluting with the measured signal,and effectively improve the resolution and signal-noise-ratio of the medical ultrasound image.