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Surface Extraction from Multi-material CT Data

机译:从多材料CT数据中进行表面提取

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This paper describes a method for extracting surfaces from multi-material CT (Computed Tomography) data. Most contouring methods such as Marching Cubes algorithm assume that CT data are composed of only two materials. Some extended methods such as can extract surfaces from the multi-material (non-manifold) implicit representation. However, these methods are not directly applicable to CT data which are composed of three or more materials. There are two major problems that arise from fundamentals of CT. The first problem is that we have to use n(n- 1)/2 threshold values for CT data contains n materials and select appropriately one threshold value for each boundary area. The second is that we cannot reconstruct only from CT data in which area three or more materials are adjacent each other. In this paper, we propose a method to solve the problems by using image analysis and demonstrate the effectiveness of the method with application examples construct polygon models from CT data of machine parts.
机译:本文介绍了一种从多材料CT(计算机断层扫描)数据中提取表面的方法。大多数轮廓绘制方法(例如Marching Cubes算法)都假定CT数据仅由两种材料组成。一些扩展方法,例如可以从多材料(非流形)隐式表示中提取曲面。但是,这些方法不适用于由三种或更多种材料组成的CT数据。 CT的基本原理引起了两个主要问题。第一个问题是,对于包含n种材料的CT数据,我们必须使用n(n-1)/ 2个阈值,并为每个边界区域适当选择一个阈值。第二个问题是,我们不能仅从CT数据中重建三个或更多材料彼此相邻的区域。在本文中,我们提出了一种通过图像分析解决问题的方法,并通过应用实例从机器零件的CT数据构造多边形模型中证明了该方法的有效性。

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