Performance evaluation of 3D MR Image Compression Using Wavelet Coding

Magnetic resonance 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. Wavelet transform is a powerful mathematical tool with many unique qualities that are useful for image compression and processing applications. Although wavelet concepts can be traced to back 1910, the mathematics of wavelets has only been recently formalized. By exploiting the spatial and spectral redundancy information in images, wavelet based methods offer better results for compressing medical images than do compression algorithms. Wavelet based methods does not suffer from blocking artifacts and the restored image quality is generally superior at high compression rates. This paper explains the compression based on content-based non-uniform meshes, spatial transformation for motion compensation of MR images using wavelet coding which optimizes the above said issue and also aids in medicine applications.