Wavelet-based de-noising techniques in MRI

被引：8

作者：

Bartusek, Karel ^{[1
]}

Prinosil, Jiri ^{[2
]}

Smekal, Zdenek ^{[2
]}

机构：

[1] Acad Sci Czech Republ, Inst Sci Instruments, Prague, Czech Republic

[2] Brno Univ Technol, Brno, Czech Republic

来源：

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE | 2011年 / 104卷 / 03期

关键词：

Wavelet transformation; Filtering technique; Magnetic resonance imaging; RATIO;

D O I：

10.1016/j.cmpb.2011.08.008

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The paper deals with techniques for the enhancement of magnetic resonance (MR) images using the wavelet analysis, which is assessed from the viewpoint of choosing the mother wavelet and the thresholding technique. Three parameters are used as objective criteria of the quality of image enhancement: the signal-to-noise ratio (SNR), image contrast, and linear approximation of edge steepness. Unlike most of the standard methods, which work exclusively with image magnitude, we also examined the influence of image phase, i.e. the image is processed as a complex signal. In addition to the interpretation of results, a short summary is given that deals with the choice of the optimal mother wavelet and thresholding technique for different types of MR images. (C) 2011 Elsevier Ireland Ltd. All rights reserved.

引用

页码：480 / 488

页数：9

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