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首页> 外文期刊>Journal of Digital Imaging >An Algorithm for Tracking Microcatheters in Fluoroscopy
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An Algorithm for Tracking Microcatheters in Fluoroscopy

机译：荧光检查中跟踪微导管的算法

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Currently, a large number of endovascular interventions are performed for treatment of intracranial aneurysms. For these treatments, correct positioning of microcatheter tips, microguide wire tips, or coils is essential. Techniques to detect such devices may facilitate endovascular interventions. In this paper, we describe an algorithm for tracking of microcatheter tips during fluoroscopically guided neuroendovascular interventions. A sequence of fluoroscopic images (1,024 × 1,024 × 12 bits) was acquired using a C-arm angiography system as a microcatheter was passed through a carotid phantom which was on top of a head phantom. The carotid phantom was a silicone cylinder containing a simulated vessel with the shape and curvatures of the internal carotid artery. The head phantom consisted of a human skull and tissue-equivalent material. To detect the microcatheter in a given fluoroscopic frame, a background image consisting of an average of the four previous frames is subtracted from the current frame, the resulting image is filtered using a matched filter, and the position of maximum intensity in the filtered image is taken as the catheter tip position in the current frame. The distance between the tracked position and the correct position (error distance) was measured in each of the fluoroscopic images. The mean and standard deviation of the error distance values were 0.277 mm (1.59 pixels) and 0.26 mm (1.5 pixels), respectively. The error distance was less than 3 pixels in the 93.0% frames. Although the algorithm intermittently failed to correctly detect the catheter, the algorithm recovered the catheter in subsequent frames.
机译：目前，进行了大量的血管内介入治疗颅内动脉瘤。对于这些治疗，至关重要的是正确放置微导管尖端，微导丝尖端或线圈。检测这种装置的技术可以促进血管内介入。在本文中，我们描述了一种在荧光镜引导的神经内膜血管介入治疗过程中用于跟踪微导管尖端的算法。使用C臂血管造影系统获取一系列的透视图像（1,024×1,024×12位），因为微导管通过了位于头部体模顶部的颈动脉体模。颈动脉体模是一个硅胶圆柱体，其中包含具有颈内动脉形状和曲率的模拟血管。头部幻影由人类头骨和组织等效材料组成。为了在给定的荧光透视帧中检测微导管，从当前帧中减去由前四个帧的平均值组成的背景图像，使用匹配的滤波器对生成的图像进行滤波，并在滤波后的图像中最大强度的位置为作为当前帧中的导管尖端位置。在每个透视图像中测量跟踪位置与正确位置之间的距离（误差距离）。误差距离值的平均值和标准偏差分别为0.277毫米（1.59像素）和0.26毫米（1.5像素）。在93.0％的帧中，错误距离小于3个像素。尽管该算法间歇性地未能正确检测到导管，但是该算法在随后的帧中恢复了导管。

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