Finding out general tendencies in speckle noise reduction in ultrasound images

被引:103
作者
Mateo, Juan L. [2 ]
Fernandez-Caballero, Antonio [1 ,2 ]
机构
[1] Univ Castilla La Mancha, Dept Sistemas Informat, Albacete 02071, Spain
[2] Univ Castilla La Mancha, Inst Invest Informat Albacete 13A, Albacete 02071, Spain
关键词
Speckle noise; Digital image processing; Noise reduction; Ultrasound images; CONTRAST ENHANCEMENT; WAVELET; SUPPRESSION; FILTERS; DIFFUSION; REGION; MODEL;
D O I
10.1016/j.eswa.2008.11.029
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This article investigates and compiles some of the techniques mostly used in the smoothing or suppression of speckle noise in ultrasound images. With this information, a comparison of all the methods studied is done based on an experiment, using quality metrics to test their performance and show the benefits each one can contribute. To test the methods, a synthetic. noise-free image of a kidney is created and later simulations using Field II program to corrupt it are performed. This way, the smoothing techniques can be compared using numeric metrics, taking the noise-free image as a reference. Since real ultrasound images are already noise corrupted images and real noise-free images do not exist, conventional metrics cannot be used to indicate the quality obtained with filtering. Nevertheless, we propose the use of the tendencies observed in our study in real images. (C) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码:7786 / 7797
页数:12
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