Abstract: MRI images are widely used in the diagnosis of various parts of body like Brain, Spinal cord, Heart, Breasts, Internal organs and Bones, Joints, Blood vessels and also to detect Blood clots. The image classification can be changed with the addition of even small amount of noise. Therefore the reduction of noise is very important. Image pre-processing techniques like de-noising and filtration are employed to remove the noise from an image while retaining as much as possible crucial signal features of the image. In this paper an efficient way to analyze the quality of mri images is carried out using mean, median, wiener filters, whose out comings are subjected to calculation of mean square error (MSE) and peak signal-to- noise ratio (PSNR).
Keywords: De-noising, Discrete wavelets transform Mean square error, Medical imaging, Peak signal to noise ratio, Salt and pepper noise.
Title: Efficient Quality Analysis of MRI Images Using Pre-Processing Techniques
Author: Kesari. Priyanka, M. Muni sankar
International Journal of Engineering Research and Reviews
ISSN 2348-697X (Online)
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