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On Concise 3-D Simple Point Characterizations: A Marching Cubes Paradigm

机译:简洁的3D简单点表征:行进立方体范例

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摘要

The centerlines of tubular structures are useful for medical image visualization and computer-aided diagnosis applications. They can be effectively extracted by using a thinning algorithm that erodes an object layer by layer until only a skeleton is left. An object point is “simple” and can be safely deleted only if the resultant image is topologically equivalent to the original. Numerous characterizations of 3-D simple points based on digital topology already exist. However, little work has been done in the context of marching cubes (MC). This paper reviews several concise 3-D simple point characterizations in a MC paradigm. By using the Euler characteristic and a few newly observed properties in the context of connectivity-consistent MC, we present concise and more self-explanatory proofs. We also present an efficient method for computing the Euler characteristic locally for MC surfaces. Performance evaluations on different implementations are conducted on synthetic data and multidetector computed tomography examination of virtual colonoscopy and angiography.
机译:管状结构的中心线对于医学图像可视化和计算机辅助诊断应用很有用。通过使用细化算法可以有效地提取它们,该算法逐层腐蚀对象,直到只剩下骨骼为止。一个对象点是“简单的”,只有在生成的图像在拓扑上与原始图像等效时,才能安全删除该对象点。基于数字拓扑的3D简单点的许多表征已经存在。但是,在行进多维数据集(MC)的上下文中所做的工作很少。本文回顾了MC范例中的几个简洁的3D简单点表征。通过在连接一致的MC上下文中使用Euler特征和一些新近观察到的属性,我们提供了简洁明了的解释。我们还提出了一种有效的方法,用于局部计算MC表面的欧拉特性。在虚拟结肠镜检查和血管造影的合成数据和多探测器计算机断层扫描检查中,对不同实施方案进行了性能评估。

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