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首页> 外文期刊>Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice >An extension to 3D topological thinning method based on LUT for colon centerline extraction.
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An extension to 3D topological thinning method based on LUT for colon centerline extraction.

机译：扩展了基于LUT的3D拓扑细化方法以提取结肠中心线。

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摘要

Topological thinning is a valid but time-consuming method to calculate the centerline of human colon or other hollow organs accurately. An optimized 3D topological thinning method based on Look-up Table (LUT), which was proposed by Sadlier, proves to be effective in improving the efficiency on many occasions. However, it is still inefficient when processing some complex datasets. In this paper, we first analyze the reason causing the unstable performance, and then present an extension to Sadlier's method, which enables the rapid execution of the extraneous loops removing by avoiding unnecessary global connectivity testing. To reach this purpose, a min-heap structure is introduced to select a seed from the candidate voxels set of the final centerline, and region growing technique is used to find the voxels in the same branch with the seed. The comparison among the standard topological thinning, LUT method and the extension to LUT method indicates the extension achieves the most efficient performance.
机译：拓扑稀化是一种有效但耗时的方法，可以准确地计算出人类结肠或其他中空器官的中心线。 Sadlier提出的基于查找表（LUT）的优化3D拓扑稀疏方法被证明在许多情况下均可有效提高效率。但是，在处理一些复杂的数据集时，效率仍然很低。在本文中，我们首先分析导致性能不稳定的原因，然后提出对Sadlier方法的扩展，该方法可以通过避免不必要的全局连接性测试来快速执行外部循环删除。为了达到这个目的，引入了最小堆结构以从最终中心线的候选体素集合中选择种子，并使用区域生长技术在与种子相同的分支中找到体素。标准拓扑细化，LUT方法和对LUT方法的扩展之间的比较表明，扩展实现了最有效的性能。

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