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首页> 外文期刊>IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control >Parallel integral projection transform for straight electrode localization in 3-D ultrasound images
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Parallel integral projection transform for straight electrode localization in 3-D ultrasound images

机译:平行积分投影变换可在3-D超声图像中进行直电极定位

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摘要

In surgical practice, small metallic instruments are frequently used to perform various tasks inside the human body. We address the problem of their accurate localization in the tissue. Recent experiments using medical ultrasound have shown that this modality is suitable for real-time visualization of anatomical structures as well as the position of surgical instruments. We propose an image- processing algorithm that permits automatic estimation of the position of a line-segment-shaped object. This method was applied to the localization of a thin metallic electrode in biological tissue. We show that the electrode axis can be found through maximizing the parallel integral projection transform that is a form of the Radon transform. To accelerate this step, hierarchical mesh-grid algorithm is implemented. Once the axis position is known, localization of the electrode tip is performed. The method was tested on simulated images, on ultrasound images of a tissue mimicking phantom containing a metallic electrode, and on real ultrasound images from breast biopsy. The results indicate that the algorithm is robust with respect to variations in electrode position and speckle noise. Localization accuracy is of the order of hundreds of micrometers and is comparable to the ultrasound system axial resolution.
机译:在外科手术实践中,小型金属仪器经常用于在人体内部执行各种任务。我们解决了它们在组织中精确定位的问题。最近使用医学超声的实验表明,这种方式适用于解剖结构的实时可视化以及手术器械的位置。我们提出了一种图像处理算法,该算法允许自动估计线段形物体的位置。该方法应用于生物组织中薄金属电极的定位。我们表明,可以通过最大化作为Radon变换形式的平行积分投影变换来找到电极轴。为了加快这一步,实现了分层网格算法。一旦知道了轴的位置,就执行电极头的定位。该方法已在模拟图像,模拟包含金属电极的体模的超声图像以及来自乳腺活检的真实超声图像上进行了测试。结果表明,该算法对于电极位置和斑点噪声的变化具有鲁棒性。定位精度约为数百微米,可与超声系统的轴向分辨率相比。

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