Abstract: Medical image compression plays a vital role in the medical field where the high quality medical images require extensive storage capacity. Researchers propose an efficient method for storing MRI brain images with a reduced storage capacity at a lesser execution time. Researchers propose a new lossless compression scheme based on Spatial Fuzzy C-Mean algorithm. The MRI brain image after skull stripping is denoised using curvelet transform and segmented into white, gray and Cerebro-Spinal Fluid (CSF) regions using spatial fuzzy. Each segmented region is then compressed using the proposed compression technique. The proposed method achieved a high compression ratio (78%) and also provides an enhanced image quality after decompression.