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Initial steps towards automatic segmentation of the wire frame of stent grafts in CT data

机译:在CT数据中自动分割支架移植物线框的初始步骤

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摘要

For the purpose of obtaining a geometrical model of the wire frame of stent grafts, we propose three tracking methods to segment the stent's wire, and compare them in an experiment. A 2D test image was created by obtaining a projection of a 3D volume containing a stent. The image was modified to connect the parts of the stent's frame and thus create a single path. Ten versions of this image were obtained by adding different noise realizations. Each algorithm was started at the start of each of the ten images, after which the traveled paths were compared to the known correct path to determine the performance. Additionally, the algorithms were applied to 3D clinical data and visually inspected. The method based on the minimum cost path algorithm scored excellent in the experiment and showed good results on the 3D data. Future research will focus on establishing a geometrical model by determining the corner points and the crossings from the results of this method.ud
机译:为了获得支架移植物金属丝框架的几何模型,我们提出了三种跟踪方法以分割支架的金属丝,并在实验中进行比较。通过获得包含支架的3D体积的投影来创建2D测试图像。修改图像以连接支架框架的各个部分,从而创建一条路径。通过添加不同的噪声实现,获得了该图像的十个版本。每种算法都从十张图片的每张图片的开头开始,然后将行进的路径与已知的正确路径进行比较以确定性能。此外,该算法已应用于3D临床数据并进行了视觉检查。基于最小成本路径算法的方法在实验中得分很高,并且在3D数据上显示出良好的效果。未来的研究将集中于通过从此方法的结果确定拐角点和交叉点来建立几何模型。 ud

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