Topological analysis of trabecular bone MR images
Topological analysis of trabecular bone MR images
复制标题
DOI：
10.1109/42.845175
复制
发表时间：
2000-03-01
影响因子：
10.6
通讯作者：
Wehrli, FW
中科院分区：
文献类型：
--
作者：
Gomberg, BR;Saha, PK;Wehrli, FW
最近，成像技术已成为可用的，允许非破坏性分析的三维（3-D）结构的骨小梁（TB），形成一个网络的互连板和杆，大多数骨质疏松性骨折发生在位置丰富的TB，这刺激了搜索的建筑参数作为骨强度的决定因素。在本文中，我们提出了一种新的方法来定量表征的3-D微结构的TB，基于数字拓扑结构。该方法基于相邻体素的连接性信息对3D结构的每个体素进行分类。在将3D数字图像转换为仅包含一维（1-D）和二维（2-D）结构的离散化表面表示之后，每个体素被分类为曲线、表面或结点，该方法已经通过合成图像进行了验证，并随后应用于来自人手腕的TB图像。发现拓扑参数可以预测单轴加载的杨氏模量（YM），具体地说，发现表面-曲线比是YM的单一最强预测因子（r（2）= 0.69）。最后，该方法已被应用到TB图像从一组患者显示非常大的变化，并行的拓扑参数，骨体积分数（BVF）的变化小得多。
Recently, imaging techniques have become available which permit nondestructive analysis of the three-dimensional (3-D) architecture of trabecular bone (TB), which forms a network of interconnected plates and rods, Most osteoporotic fractures occur at locations rich in TB, which has spurred the search for architectural parameters as determinants of bone strength. In this paper, we present a new approach to quantitative characterization of the 3-D microarchitecture of TB, based on digital topology. The method classifies each voxel of the 3-D structure based on the connectivity information of neighboring voxels, Following conversion of the 3-D digital image to a skeletonized surface representation containing only one-dimensional (1-D) and two-dimensional (2-D) structures, each voxel is classified as a curve, surface, or junction, The method has been validated by means of synthesized images and has subsequently been applied to TB images from the human wrist, The topological parameters were found to predict Young's modulus (YM) for uniaxial loading, specifically, the surface-to-curve ratio was found to be the single strongest predictor of YM (r(2) = 0.69). Finally, the method has been applied to TB images from a group of patients showing very large variations in topological parameters that parallel much smaller changes in bone volume fraction (BVF).