超声图像中正中神经检测轮廓的降噪与增强

K. Katayama, K. Shibata, Y. Horita
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引用次数: 1

摘要

周围神经病变的诊断需要三维神经信息。我们已经开发了一个原型操纵装置,并开发了一种算法,用于从使用该探头捕获的超声波图像中提取周围神经并产生三维正中神经。与人为操纵探测器所拍摄的图像不同,我们的设备所拍摄的图像一次只能拍摄同一区域的图像。它们部分清晰,便于提取神经轮廓,部分不清晰(模糊)则难以提取。为了解决这一问题,本文报道了对超声图像进行降噪和组织间边缘强调,并利用图像提取神经。
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Noise reduction and enhancement of contour for median nerve detection in ultrasonic image
Three-dimensional nerve information is required for the diagnosis of peripheral neuropathy. We have developed a prototype manipulating device and developed an algorithm for extracting peripheral nerves from the ultrasonic wave images captured using this probe and produce three-dimensional median nerve. Unlike the images captured by artificially manipulating the probe, the images captured by our device captures images of same area only at once. They are partially clear making it easy to extract nerve contours, or partially unclear (blurry) which are difficult to extract. In order to solve this problem, this paper reports that noise reduction and inter-organization edge emphasis are applied to ultrasonic wave images and nerves are extracted using the images.
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