Medical image fusion is the process of combining multiple images from single or multimodal medical image. In this article, we have presented an hybrid image fusion based on non-subsampled contourlet (NSCT) enhancement to highlight the presentation of the original image appearance taking into account the difficulties of classical methods linked to the traditional enhancement methods. This algorithm is performed in CDF 9/7 wavelet transform based on lifting scheme to combine magnetic resonance imaging (MRI) and Positron emission tomography (PET) with applying fusion rules. The coefficients of the low frequency band are combined by a maximal energy rule and coefficients of the high frequency bands are combined by a maximal variance rule. Finally, the results of image fusion are evaluated with mutual information (MI) and spatial frequency (SF) then compared with the existent methods such as (PCA, DWT).