1Department of Electronics and Communication Engineering, Government College of Technology, Coimbatore, India.
Ultrason Imaging. 2014 Apr;36(2):112-32. doi: 10.1177/0161734613512200.
Ultrasonography is often preferred over the other medical imaging modalities due to its noninvasive nature, cost-effectiveness, and portability. However, the resolution of the ultrasound image greatly depends upon the presence of speckle noise. Speckle noise generally tends to reduce the image resolution and contrast, thereby reducing the diagnostic resolution of this imaging modality. In this paper, we propose a speckle suppressing anisotropic diffusion (SSAD) filter, to remove the speckle noise from B-Mode Ultrasound images. The performance of the SSAD filter is compared with the existing diffusion filters. The evaluation is based on their application to images simulated by Field II (developed by Jensen et al.). The algorithms were also tested for clinical ultrasound images of polycystic ovaries obtained from HDI 5000 Ultrasound Scanner. Performance evaluation was done by both numerical and functional parameters. The proposed filter yields better results in terms of greatest structural similarity index map (SSIM) of 0.95 and accuracy of 99.5.
超声成像是一种常用的医学成像方式，因为它具有非侵入性、成本效益高和便携性等优点。然而，超声图像的分辨率很大程度上取决于散斑噪声的存在。散斑噪声通常会降低图像的分辨率和对比度，从而降低这种成像方式的诊断分辨率。在本文中，我们提出了一种用于从 B 模式超声图像中去除散斑噪声的散斑抑制各向异性扩散（SSAD）滤波器。将 SSAD 滤波器的性能与现有的扩散滤波器进行了比较。评估是基于它们在 Field II（由 Jensen 等人开发）模拟图像上的应用。该算法还针对从 HDI 5000 超声扫描仪获得的多囊卵巢的临床超声图像进行了测试。通过数值和功能参数对性能进行了评估。所提出的滤波器在最大结构相似性指数图（SSIM）为 0.95 和准确度为 99.5 的方面取得了更好的结果。
