A statistical shape model of the human second cervical vertebra
A statistical shape model of the human second cervical vertebra
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DOI：
10.1007/s11548-014-1121-x
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发表时间：
2015-07-01
影响因子：
3
通讯作者：
Henein, Simon
中科院分区：
文献类型：
--
作者：
Clogenson, Marine;Duff, John M.;Henein, Simon
统计形状和外观模型在减少椎骨的分割处理时间和改善3D模型开发的结果方面起着重要作用。在这里，我们描述了在生成第二颈椎（C2）的统计形状模型（SSM）的不同步骤，并提供了科学界普遍使用的形状模型。在其建设的主要困难是形态的复杂性C2和它的变异性在population.The输入数据集是由手动分割匿名患者的计算机断层扫描（CT）扫描。不同数据集的对齐是通过表面模型上的procrustes对齐来完成的，然后，使用高斯过程将配准转换为模型拟合问题。生成基于主成分分析（PCA）的模型，该模型包括C2的变异性。使用92次CT扫描生成SSM。由此产生的SSM的特异性，紧凑性和泛化能力进行了评价。C2的SSM可在Slicer（一种用于图像分析和科学可视化的开源软件）中免费提供给科学界，该软件带有一个模块，用于使用统计形状建模框架Statismo可视化SSM。椎骨的SSM允许表示C2的形状可变性。此外，SSM将实现椎骨的半自动分割和3D模型生成，这将极大地有利于手术规划。
Statistical shape and appearance models play an important role in reducing the segmentation processing time of a vertebra and in improving results for 3D model development. Here, we describe the different steps in generating a statistical shape model (SSM) of the second cervical vertebra (C2) and provide the shape model for general use by the scientific community. The main difficulties in its construction are the morphological complexity of the C2 and its variability in the population.The input dataset is composed of manually segmented anonymized patient computerized tomography (CT) scans. The alignment of the different datasets is done with the procrustes alignment on surface models, and then, the registration is cast as a model-fitting problem using a Gaussian process. A principal component analysis (PCA)-based model is generated which includes the variability of the C2.The SSM was generated using 92 CT scans. The resulting SSM was evaluated for specificity, compactness and generalization ability. The SSM of the C2 is freely available to the scientific community in Slicer (an open source software for image analysis and scientific visualization) with a module created to visualize the SSM using Statismo, a framework for statistical shape modeling.The SSM of the vertebra allows the shape variability of the C2 to be represented. Moreover, the SSM will enable semi-automatic segmentation and 3D model generation of the vertebra, which would greatly benefit surgery planning.