High Density Noise Removal for Magnetic Resonance Imaging by Modified Median Filter

Conference: Recent Trends in Information Processing, Computing, Electrical and Electronics
Author(s): Deepika Mukati, K K Nayak Year: 2017
Grenze ID: 02.IPCEE.2017.1.31 Page: 189-198

Abstract

In MRI images noise removal techniques have become an essential exercise in medical imaging applications,\nfor the study of anatomical structures. MRI images are affected by Rician noise due to the magnitude image\nformation. Presence of Rician noise can significantly affect the image quality and contrast ratio of an image. In this paper\nModified Median Filter technique is used for de-noising Rician noise. Rician noise displays varying distribution\ncharacteristic depending on the SNR of the image. Based on the probability distribution function of noise and SNR\ninformation obtained from the image, the proposed filter uses selection of filtering window of size 3X3 to perform denoising.\nThe proposed filtering technique has been implemented on MRI images. The efficiency of the proposed filtering\ntechnique is verified with a study of the PSNR characteristic of the de-noised and noisy image with respect to the true\nimage. The proposed de- noising technique shows an improvement in the contrast ratio and PSNR of the noisy image.

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IPCEE - 2017