Ultrasound speckle reduction using modified gabor filters
Ultrasound speckle reduction using modified gabor filters
复制标题
使用改进的 Gabor 滤波器减少超声散斑
DOI：
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
E. Costa
中科院分区：
文献类型：
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作者：
R. G. Dantas;E. Costa
B型超声图像的特征在于斑点伪影，这可能使图像的解释变得困难。一种广泛使用的用于超声散斑减少的方法是分裂频谱处理（SSP），但是一维（1-D）窄带滤波器的使用使得所得图像经历显著的分辨率损失。为了克服这个关键的缺点，我们提出了一种新的方法，用于超声医学成像中的斑点减少，它使用了一个银行的宽带2-D方向滤波器，基于修改的Gabor函数。每个滤波器应用于2-D射频（RF）数据，从而产生在给定方向上滤波的B模式图像。滤波器输出的复合产生最终图像，其中散斑减少并且结构增强。我们将这种方法称为定向滤波（DF）。由于所提出的滤波器有效地具有与原始图像相同的带宽，因此可以避免由于使用窄带滤波器而导致的分辨率损失，如SSP。试验采用模拟和真实的临床数据进行。利用信噪比（SNR）来量化超声图像的斑点数量，我们实现了模拟数据的平均SNR增强2.26倍，真实的临床数据的平均SNR增强1.18倍
B-mode ultrasound images are characterized by speckle artifact, which may make the interpretation of images difficult. One widely used method for ultrasound speckle reduction is the split spectrum processing (SSP), but the use of one-dimensional (1-D), narrow-band filters makes the resultant image experience a significant resolution loss. In order to overcome this critical drawback, we propose a novel method for speckle reduction in ultrasound medical imaging, which uses a bank of wideband 2-D directive filters, based on modified Gabor functions. Each filter is applied to the 2-D radio-frequency (RF) data, resulting in a B-mode image filtered in a given direction. The compounding of the filters outputs give rise to a final image in which speckle is reduced and the structure is enhanced. We have denoted this method as directive filtering (DF). Because the proposed filters have effectively the same bandwidth as the original image, it is possible to avoid the resolution loss caused by the use of narrow-band filters, as with SSP. The tests were carried out with both simulated arid real clinical data. Using the signal-to-noise ratio (SNR) to quantify the amount of speckle of the ultrasound images, we have achieved an average SNR enhancement of 2.26 times with simulated data and 1.18 times with real clinical data
影响因子：
2.9
作者：
R. Molthen;V. Narayanan;P. Shankar;J. M. Reid;Vladimir Genis;F. Forsberg;Ethan J. Halpern;Barry B. Goldberg
通讯作者：
R. Molthen;V. Narayanan;P. Shankar;J. M. Reid;Vladimir Genis;F. Forsberg;Ethan J. Halpern;Barry B. Goldberg