文章基本信息

标题：A Review Paper of MRI Brain Image for Various Types of Noise Removal in Different Filters
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作者：Pallav Parmar ; Prof. Abhishek Sharma ; Anushree Ashokan 等
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：9
页码：18365
DOI：10.15680/IJIRSET.2017.0609125
出版社：S&S Publications
摘要：In an advanced imaging technique Magnetic Resonance Imaging (MRI) plays a major role in medicalsetting to create high standard images contained in the human brain .MRI imaging is often used when treating brain,prostate cancers, ankle and foot. The MRI images captured are usually liable to suffer from Gaussian noise, salt andpepper noise; speckle noise etc., Therefore obtaining of brain image with accuracy is very difficult task. An accuratebrain image is very indispensable for further diagnosis process.Image processing algorithms are applied to the capturedMRI data and detach the noise, thus preserves the integrity of fine medical image structure. In this paper, variousfiltering algorithms are discussed and compared.
关键词：MRI brain image; wiener; mean; median; image processing.