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Complex wavelet diffusion for enhancing ultrasound images of the laminar bone

机译:复杂的小波扩散以增强层状骨的超声图像

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The aim of this paper is to remove speckle noise and enhance the laminar bone structure in ultrasound images in order to aid the anesthesiologist during an epidural anesthesia needle insertion. In this regard, a direction and scale sensitive anisotropic diffusion (AD) algorithm called the complex wavelet diffusion algorithm is proposed. The proposed algorithm is tested on synthetic and real ultrasound images of the laminar bone and the results are compared with the speckle- reducing AD method. Results indicate that the proposed method can better highlight the diagonal- shaped laminar bones while removing speckle noise. Furthermore, the proposed despeckling algorithm is very fast providing the anesthesiologist with real- time information while an epidural injection is performed. (C) 2014 SPIE and IS&T
机译:本文的目的是消除斑点噪声并增强超声图像中的层状骨结构,以便在硬膜外麻醉针插入过程中帮助麻醉师。在这方面,提出了一种方向和尺度敏感的各向异性扩散(AD)算法,称为复数小波扩散算法。该算法在层状骨的合成和真实超声图像上进行了测试,并将结果与​​减少斑点的AD方法进行了比较。结果表明,该方法可以较好地突出对角线状层状骨,同时消除斑点噪声。此外,提出的去斑点算法非常快,在执行硬膜外注射时为麻醉师提供实时信息。 (C)2014 SPIE和IS&T

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