Feature-preserving outermost-surface polygonization from CT images
Feature-preserving outermost-surface polygonization from CT images
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CT 图像中保留特征的最外表面多边形
DOI：
10.1080/16864360.2014.846098
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发表时间：
2014
影响因子：
--
通讯作者：
H.
中科院分区：
文献类型：
--
作者：
Michikawa;T.;Moriguchi;M.;Suzuki;H.
本文介绍了一种从CT图像计算最外表面多边形数据的简单方法。该概念涉及操作对象空洞结构的CT值以及随后应用等值面提取算法。为了识别空洞结构，将形态闭合算子应用于输入图像，并计算输入图像和闭合图像之间的差值。该方法能够创建拓扑简单的等值面，因为防止了内部结构的多边形化。此外，由于应用了常用的多边形化方法，亚体素精度得到了保证。
This paper outlines a simple method for computing outermost-surface polygon data from CT images. The concept involves manipulating CT values of object void structures and the subsequent application of isosurface extraction algorithms. To identify void structures, a morphological closing operator is applied to input images, and differences between the input and closed images are computed. The method enables the creation of topologically simple isosurfaces because polygonization of the internal structure is prevented. In addition, sub-voxel accuracy is guaranteed thanks to the application of common methods for polygonization.