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首页> 外文期刊>Journal of intelligent & fuzzy systems: Applications in Engineering and Technology >The study of automatic matching and optimal location of epidural anesthesia based on ultrasonic image processing
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The study of automatic matching and optimal location of epidural anesthesia based on ultrasonic image processing

机译:基于超声图像处理的硬膜外麻醉自动匹配和最优定位研究

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摘要

The traditional epidural anesthesia often relies on blind touch method, which has high technical requirements and low efficiency for doctors. But the ultrasonic image localization method also affects the doctor's use because of the insufficient definition, the big spot noise and so on. Based on this, a new lumbar ultrasound processing system is proposed. Anisotropic diffusion filter can enhance contrast and make image smoother. The new adaptive threshold binarization algorithm can not only remove speckle noise, but also get clear ultrasound image. The template matching algorithm is used to locate the epidural anesthesia automatically. Through several ultrasound images were examined, The success rate was 98.12%. This technology was used in the control experiment of obese patients, which showed that this technology can better solve the problem of low epidural anesthesia operation.
机译:传统的硬膜外麻醉通常依赖于盲触触摸方法,其技术要求高,医生效率低。 但由于定义不足,大点噪声等,超声波图像定位方法也会影响医生的使用。 基于此,提出了一种新的腰部超声处理系统。 各向异性扩散过滤器可以增强对比度并使图像更顺畅。 新的自适应阈值二值化算法不仅可以删除散斑噪声,还可以获得清晰的超声图像。 模板匹配算法用于自动定位硬膜外麻醉。 通过几种超声图像进行了检查,成功率为98.12%。 该技术用于肥胖患者的对照实验,表明,该技术可以更好地解决低硬膜外麻醉操作的问题。

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