This project introduce application of the Wavelet transform in medical image fusion. In medical image fusion, multiple medical images, such as computed tomography (CT) and magnetic resonance (MR) images are fused into a new image to improve the information content for diagnoses. Some attempts have been proposed for the fusion of MR and CT images using the wavelet transform. Since medical images have several objects and curved structures, it is expected that the curvelet transform would be better in their fusion. The simulation results show the superiority of the curvelet transform to the wavelet transform in the fusion of CT and MR images from both the visual quality and the peak signal to noise ratio (PSNR) points of view.