Edge-preserving denoising is an important task in medical image processing. In this paper a wavelet thresholding scheme for noise suppression of magnetic resonance images optimized by PSO algorithm has been proposed. To exploit the wavelet inter scale dependencies, adjacent wavelet subbands are multiplied to enhance edge structures while weakening noise. In the multiscale products, edges can be effectively distinguished from noise and an adaptive threshold is calculated and imposed on the

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... ts, instead on the wavelet coefficients, to identify an important feature which is optimi by PSO algorithm. Experiments show that the proposed scheme is better optimized and suppresses noise and preserves edges than other wavelet-thresholding denoising methods.