利用数字滤波减少光学相干断层扫描图像中的散斑
Speckle reduction in optical coherence tomography images using digital filtering.
作者信息
Ozcan Aydogan, Bilenca Alberto, Desjardins Adrien E, Bouma Brett E, Tearney Guillermo J
机构信息
Harvard Medical School, Massachusetts General Hospital, Boston 02114, USA.
出版信息
J Opt Soc Am A Opt Image Sci Vis. 2007 Jul;24(7):1901-10. doi: 10.1364/josaa.24.001901.
Abstract
Speckle noise is a ubiquitous artifact that limits the interpretation of optical coherence tomography images. Here we apply various speckle-reduction digital filters to optical coherence tomography images and compare their performance. Our results indicate that shift-invariant, nonorthogonal wavelet-transform-based filters together with enhanced Lee and adaptive Wiener filters can significantly reduce speckle and increase the signal-to-noise ratio, while preserving strong edges. The speckle reduction capabilities of these filters are also compared with speckle reduction from incoherent angular compounding. Our results suggest that by using these digital filters, the number of individual angles required to attain a certain level of speckle reduction can be decreased.
摘要
散斑噪声是一种普遍存在的伪像，它限制了光学相干断层扫描图像的解读。在此，我们将各种散斑减少数字滤波器应用于光学相干断层扫描图像，并比较它们的性能。我们的结果表明，基于平移不变、非正交小波变换的滤波器与增强型李氏滤波器和自适应维纳滤波器一起，能够显著减少散斑并提高信噪比，同时保留强边缘。还将这些滤波器的散斑减少能力与非相干角度复合的散斑减少效果进行了比较。我们的结果表明，通过使用这些数字滤波器，可以减少达到一定散斑减少水平所需的单个角度数量。
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