High-level Rician noise exists in medical magnetic resonance (MR) ima ge,and the dual-domain filtering image denoising algorithm removes Rician noise incompletely and has long running time. To solve these problems,a novel fast denoising algorithm for medical MR image,which combines dual-domain filtering i mage denoising algorithm with guided image filtering,is proposed.First,in order to cu t down the running time of algorithm,the result of the guided image filtering is used as the original guiding image of the dual-domai n filtering image denoising algorithm to reduce the number of iterations.Then,the weighting coefficient of algorithm is impro ved.The new method combines the original weighting coefficient with the exponential kernel function to construct a new we ighting coefficient so as to obtain better denoising results.Experimental results demonstrate that the proposed algorithm can suppress medical MR image noise effectively and protect the details of the image.Meanwhile,our method can achiev e better peak signal-to-noise ratio (PSNR) and higher structural similarity (SSIM) compared with some excellent medical MR image denoising methods.Moreover, compared with the classical dual-domain filtering image denoising algorithm and the non-local mean algorithm,the running time of the improved algorithm is reduced by 1/3and 1/2,respectively.