Abstract: In order to fuse the information from anatomical and functional medical images effectively,it is proposed a fusion algorithm of wavelet coefficients adaptive weighted averaging based on window-based standard deviation .Its advantage consists in being able to distribute the weights between coefficients dynamically and achieve good fusion result.Experimental results show that the proposed approach outperforms the conventional coefficient combining method of weighted averaging.