Performance Analysis of Noise Reduction Technologies in Brain MRI Image

Rapid advancement in icon-based analysis for the treatment of diseases which are affected on internal organs of human body drives medical imaging processing into an important technique among various methods of psychoanalysis. Among all the available imaging modalities magnetic resonance imaging techniques are extensively used for the analysis and discussion of diseases in soft tissue. MRI image provides insight into the anatomical structure within the body. Accuracy of the construction of the target within the body depends upon the overall imaging process. The quality of MRI image determines the effectiveness in feature extraction, analysis, recognition and quantitative measurements. The primary factors which decrease the visibility of the structure are blurring effect and noises. This leads to the need of removal of noise from MRI images as a function of the preprocessing technique in image processing; usually noise filters are employed for this function. In this paper analyzes the operation of different noise filters. Keywords— Magnetic Resonance Image, Noises, Gaussian noise, Salt-and-Pepper noise, analog filters, Non-linear filters, Wiener Filter.