文章基本信息

标题：Processing MRI Brain Image using OpenMP and Fast Filters for Noise Reduction
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作者：Luis Cadena ; Darwin Castillo ; Aleksandr Zotin 等
期刊名称：Lecture Notes in Engineering and Computer Science
印刷版ISSN：2078-0958
电子版ISSN：2078-0966
出版年度：2019
卷号：2241
页码：499-504
出版社：Newswood and International Association of Engineers
摘要：The medical diagnosis of most pathologists requires the analysis of the image studies. Therefore, it is important to get the best quality of the images without noise and highlight the details of tissues. The principal aim of this work is to apply different algorithms and filters to reduce the noise of magnetic resonance brain images, due to the noise in these can cause to give a difficult diagnosis. The algorithms considered in this work are the fast mean filter, fast Gaussian filter, and fast median filter; also was used parallel programming in OpenMP. The results show that the parallel implementation of algorithms has more performance in the time processing, localization, and noise reduction than sequential and classic implementation.
关键词：MRI brain image; fast mean filter; fast median; filter; fast gaussian 2D; parallel programming; OpenMP.