Efficiency of new method of removing the noisy background from the sequence of MRI scans depending on structuring elements used to morphological processing

R. Kalicka, A. Pietrenko‐Dabrowska, S. Lipiński
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引用次数: 4

Abstract

The paper presents a new method of removing the noisy background from the sequence of magnetic resonance imaging (MRI) scans. The scans contain the noisy head-cross data and also the noisy background data. The latter have to be removed and excluded from a further analysis. It is achieved by applying some basic morphological operations of dilation, erosion, opening and closing to the previously binarized MRI scans. The results of removing the background from the sequence of scans with the use of some different shapes and sizes of structuring elements are presented in the paper. The aim of this paper is to choose the best structuring elements to make the new method the most immune to various qualities and appearances of the processed MRI images.
基于形态学处理结构元素的MRI扫描序列噪声背景去除新方法的效率
提出了一种从磁共振成像扫描序列中去除背景噪声的新方法。扫描包含有噪声的头部交叉数据和有噪声的背景数据。后者必须被排除在进一步的分析之外。它是通过对先前二值化的MRI扫描进行一些基本的形态学操作,如扩张、侵蚀、打开和关闭来实现的。本文给出了利用不同形状和大小的结构元素从扫描序列中去除背景的结果。本文的目的是选择最佳的结构元素,使新方法对处理后的MRI图像的各种质量和外观具有最大的免疫力。
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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