This study proposes a novel medical im age fusion method based on the multi-scale geometric analysis tool-non-subsam pled contourlet transform (NSCT) and Beamlet transform.The NSCT is applied to im age processing field because of its directional,anisotropic and translational in variance properties.Beamlet transform has the advantage of perfect line feature detection ability.At first,this algorithm de composes the images by the NSCT.In high frequency region,it uses the Beamlet transform to make edge detection.Then it uses the edg e density difference value of the clustering segmentation to get the coefficient fusion rules.In low frequency region,this algorithm uses the standard variance coefficient of partial region to get the fusion rules.After that,it performs consistency correc tion for the fused coefficients.Finally,it gets the reconstructed image by the inverse NSCT transform on the fused high frequency and low fr equency subband coefficients.The experiment results show that compared with traditional fusion methods,this algorithm can e ffectively diminish the fusion image ambiguity caused by the noise.It enhances the linear details presentation ability and inc reases the information amount.