Accurate Vessel Segmentation With Constrained B-Snake
Accurate Vessel Segmentation With Constrained B-Snake
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DOI：
10.1109/tip.2015.2417683
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发表时间：
2015-08-01
影响因子：
10.6
通讯作者：
Tamura, Shinichi
中科院分区：
文献类型：
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作者：
Cheng, Yuanzhi;Hu, Xin;Tamura, Shinichi
我们描述了一个活动轮廓框架，在血管横截面上具有精确的形状和大小约束，以产生血管分割。它首先在3D计算机断层扫描（CT）数据中进行多尺度血管轴追踪，然后在从提取的轴导出的横截面上描绘血管边界。血管边界表面在横截面上的约束运动下变形，并被体素化以产生最终的血管分割。本文的新奇在于精确的轮廓点检测薄血管的CT扫描模型的基础上，在有问题的区域中的丢失的轮廓点的有效实施和在活动轮廓模型具有准确的形状和尺寸约束。我们的框架的主要优点是，它避免了在包含接触血管（彼此非常接近的血管）、患病部分（附着在血管上的病理结构）和薄血管的问题区域中的血管的断开和不完整分割。它特别适用于薄和低对比度血管的精确分割。我们的方法进行了评估，并从我们的合作伙伴网站的CT数据集上证明，其结果进行了比较，与三个相关的方法。我们的方法也进行了测试，在两个公开的数据库，其结果与最近发表的方法进行了比较。所提出的方法的适用性，一些具有挑战性的临床问题，在有问题的区域中的血管的分割，证明了良好的结果在定量和定性的实验，我们的分割算法可以描绘血管边界，具有类似于手动获得的变异水平。
We describean active contour framework with accurate shape and size constraints on the vessel cross-sectional planes to produce the vessel segmentation. It starts with a multiscale vessel axis tracing in a 3D computed tomography (CT) data, followed by vessel boundary delineation on the cross-sectional planes derived from the extracted axis. The vessel boundary surface is deformed under constrained movements on the cross sections and is voxelized to produce the final vascular segmentation. The novelty of this paper lies in the accurate contour point detection of thin vessels based on the CT scanning model, in the efficient implementation of missing contour points in the problematic regions and in the active contour model with accurate shape and size constraints. The main advantage of our framework is that it avoids disconnected and incomplete segmentation of the vessels in the problematic regions that contain touching vessels (vessels in close proximity to each other), diseased portions (pathologic structure attached to a vessel), and thin vessels. It is particularly suitable for accurate segmentation of thin and low contrast vessels. Our method is evaluated and demonstrated on CT data sets from our partner site, and its results are compared with three related methods. Our method is also tested on two publicly available databases and its results are compared with the recently published method. The applicability of the proposed method to some challenging clinical problems, the segmentation of the vessels in the problematic regions, is demonstrated with good results on both quantitative and qualitative experimentations; our segmentation algorithm can delineate vessel boundaries that have level of variability similar to those obtained manually.