3D Reconstruction of dental specimens from 2D histological images and μCT-Scans
3D Reconstruction of dental specimens from 2D histological images and μCT-Scans
复制标题
根据 2D 组织学图像和 μCT 扫描对牙科标本进行 3D 重建
DOI：
--
复制
发表时间：
2005
影响因子：
1.6
通讯作者：
C. Bourauel
中科院分区：
文献类型：
--
作者：
A. Rahimi;L. Keilig;G. Bendels;R. Klein;T. Buzug;I. Abdelgader;M. Abboud;C. Bourauel
在生物力学研究中，直接比较实验和理论结果需要仔细重建标本表面，以达到令人满意的一致性进行验证。本文描述了一种半自动的方法来重建三角形边界表示从图像起源，无论是组织切片或μCT，CT或MRI数据，分别。在用户引导的第一步中，使用图像分割技术为每个感兴趣的材料提取平面2D轮廓。在第二步中，使用标准的2D三角剖分算法来获得底层表面的高质量网格表示。这是通过一种新颖的提升过程将2D网格转换为3D网格来实现的。网格可以直接导入有限元程序包，如Marc/Mentat或COSMOS/M。通过对几个试件进行重建，并将模拟结果与对原始物体进行的测量结果进行比较，证明了该算法的准确性和可行性。
Direct comparison of experimental and theoretical results in biomechanical studies requires a careful reconstruction of specimen surfaces to achieve a satisfactory congruence for validation. In this paper a semi-automatic approach is described to reconstruct triangular boundary representations from images originating from, either histological sections or μCT-, CT- or MRI-data, respectively. In a user-guided first step, planar 2D contours were extracted for every material of interest, using image segmentation techniques. In a second step, standard 2D triangulation algorithms were used to derive high quality mesh representations of the underlying surfaces. This was accomplished by converting the 2D meshes into 3D meshes by a novel lifting procedure. The meshes can be imported as is into finite element programme packages such as Marc/Mentat or COSMOS/M. Accuracy and feasibility of the algorithm is demonstrated by reconstructing several specimens as examples and comparing simulated results with available measurements performed on the original objects.