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An Interactive Segmentation Based on CT Image Series

机译:基于CT图像序列的交互式分割

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Segmentation is an essential and important step in the analysis of medical images. This paper proposes an interactive scheme for segmentation of 3D CT image series data. User starts with an improved live wire algorithm on individually selected slices. If segmented contours on at least two slices are available, all contours on slices in between can be computed utilizing contour interpolation algorithm. If the variations of the object boundary between user-selected slices are significant, automatic optimization algorithm is applied for reduction of the variations in the interpolated contours. Experiments show that our scheme can obtain the region boundary of interest on a series of CT images quickly and reliably with only little user intervention.
机译:分割是医学图像分析中必不可少的重要步骤。本文提出了一种交互式的3D CT图像序列数据分割方案。用户从对单独选择的切片的改进的实时连线算法开始。如果至少有两个切片的分割轮廓可用,则可以使用轮廓插值算法计算介于两个切片之间的所有轮廓。如果用户选择的切片之间的对象边界变化很大,则应用自动优化算法来减少插值轮廓的变化。实验表明,我们的方案可以在几乎不需要用户干预的情况下,快速,可靠地在一系列CT图像上获得感兴趣的区域边界。

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