The MR images play a major role in the diagnosis of vital organs of the human body. Huge amount of medical image data is generated on a daily basis. This data needs to be stored for future study and follow up. This requires a large amount of storage space which is especially true for three - dimensional (3-D) medical data formed by image sequences. This has resulted in image compression being an important issue in reducing the cost of data storage and transmission time. Mesh based compression is one among them. JPEG is the currently accepted industry standard for still image compression. This paper explains the compression based on content-based non-uniform meshes, spatial transformation for motion compensation of MR images using JPEG which optimizes the above said issue and also aids in telemedicine applications. Compression rate achieved in 3 D wavelet scheme is 1.86(8), Multi dimensional Layered Zero Coding is 2.16(8) and in our coding using JPEG it is found to be 2.64.

Key words: Content-based mesh, Context-based modeling, Image Compression, Motion Compensation, JPEG coding.