Denoising of MRI images using filtering methods

Biomedical image acquisition mechanism endows vital information pertaining to anatomy and supports contemporary quantitative image analysis which eases the work in diagnosing and treating the patients effectively. One of the frequently used tools for such diagnosis and treatment assessment has been Magnetic Resonance Imaging (MRI). However, the images acquired through MRI scans can adversely affect quantitative image analysis due to the noise hindrances. To overcome these, comparative study on the filtering methods namely Median, Gaussian and Gabor have been discussed based on the Performance Evaluating Parameters -PSNR, Energy, Entropy, Variance, Correlation and Contrast. Finally, the appropriate filtering method is identified for the image correction to bring in the evaluation strategies and application.