WSEAS Transactions on Systems
Print ISSN: 1109-2777, E-ISSN: 2224-2678
Volume 15, 2016
Medical Magnetic Resonance Image Denoising by Adjusted Non-Local Means Algorithm
Authors: , ,
Abstract: Medical images represent a very important class of digital imeges because they faciliate significant improvements in diagnostics, which is a cornerstone of any medical treatment. Magnetic resonance images are one of the latest and most powerful ways of looking into the human body and differentiating various tissues and organs. Like any physical system, magnetic resonance imaging is prone to interferences and imperfections which appear in the resulting images as different types of noise. Hence, magnetic resonance images are a very important class of medical images and their enhancement is very significant for the quality of diagnostic process. In this paper we presented an algorithm for improving magnetic resonance images of the brain. We tested our proposed adjusted non-local means filter for removing random noise in the magnetic resonance images of the brain on several standard benchmark images. Several evolution metrics were used to prove the quality of the proposed method.
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Keywords: Magnetic resonance images, magnetic resonance noise, non-local means filter, magnetic resonance images denoising
Pages: 121-133
WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 15, 2016, Art. #14