Abstract
The low resolution of ultrasonic images is mainly caused by the convolution between the reflect function of the measured tissues and the system impulse response. In this paper, the system impulse response is first estimated on the envelope ultrasonic image data using higher-order spectra. Subsequently, wavelet-based deconvolution is implemented. The algorithm proposed in this paper removes the coupling problem between the tissue signals and the impulse response, which has been a puzzle in homomorphic deconvolution. It also preserves spatial components of ultrasonic images much better compared to Fourier domain deconvolution. The resulting images behave clearer in velamen boundary and tissue layers, and the texture information also appears more detailed. The deconvolved images achieve good resolution gains in both axial and lateral directions.
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