An improved approach for denoising MRI using non local means filter

N. Joshi, Sarika Jain, Amit Agarwal
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引用次数: 14

Abstract

Various types of noise affect Magnetic Resonance Images and consequently interrupt in correct diagnosis. Thus, noise reduction is a major task while working with Magnetic Resonance (MR) Images. The process of denoising reduces the undesirable noise, but at the same time the denoising process needs to preserve the image features as well. Various techniques are available for noise removal from MR Images. Non local means filtering approach is a popular denoising technique for MR images. Modifications have been performed on the original Non Local Means algorithm to apply it on numerous applications. The aim of this paper is to denoise MRI by a novel approach, making use of a median and wiener filter in conjunction with the Non local means filtering technique.
一种改进的非局部均值滤波去噪方法
各种类型的噪声影响磁共振图像,从而中断正确的诊断。因此,在处理磁共振(MR)图像时,降噪是一项主要任务。去噪的过程在去除不需要的噪声的同时,又要保持图像的特征。有多种技术可用于去除MR图像中的噪声。非局部均值滤波方法是一种常用的核磁共振图像去噪方法。对原有的非局部均值算法进行了改进,使之适用于多种应用场合。本文的目的是通过一种新颖的方法去噪MRI,利用中值和维纳滤波器结合非局部均值滤波技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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