A New Fully Automated Approach for Aligning and Comparing Shapes
A New Fully Automated Approach for Aligning and Comparing Shapes
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DOI：
10.1002/ar.23084
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发表时间：
2015-01-01
影响因子：
2
通讯作者：
Daubechies, Ingrid
中科院分区：
文献类型：
--
作者：
Boyer, Doug M.;Puente, Jesus;Daubechies, Ingrid
在过去的20年里，用于在数字化骨骼上放置标志的三维几何形态测量（3DGM）方法变得越来越复杂，包括更高程度的自动化。所有3DGM方法共有的一个方面是研究人员必须指定初始地标。因此，研究人员解释的同源性和对应性是必要的，并影响表征的形状。我们提出了一种算法，允许全自动放置对应点的3D数字模型代表不同个体/物种的骨骼样本，然后可以输入到标准的3DGM软件和降维技术进行分析。我们对几个样本测试了该算法，主要是106个灵长类动物跟骨的数据集，每个骨骼有1,024个对应点。我们对这些样本的自动分析结果与使用传统3DGM方法的已发表研究进行了比较，每个骨骼上有27个标志。用morphologika（2.5）和PAST分析数据。我们的分析返回了主成分分数之间的强相关性，成分之间的相似方差划分，以及自动和传统方法生成的形状空间之间的相似性。虽然对自动生成的数据集和传统数据集的聚类分析产生了大致相似的模式，但也存在差异。总的来说，这些结果向我们表明，自动量化可以导致形状空间，是有意义的，因为那些基于观察者的地标，从而提出了潜在的节省时间的数据收集，增加形态量化的完整性，消除观察者的错误，并允许不同类型的骨骼之间的形状多样性的比较。我们提供了一个R包来实现这种分析。Anat Rec，298：249-276，2015. (c)2014 Wiley Periodicals，Inc.
Three-dimensional geometric morphometric (3DGM) methods for placing landmarks on digitized bones have become increasingly sophisticated in the last 20 years, including greater degrees of automation. One aspect shared by all 3DGM methods is that the researcher must designate initial landmarks. Thus, researcher interpretations of homology and correspondence are required for and influence representations of shape. We present an algorithm allowing fully automatic placement of correspondence points on samples of 3D digital models representing bones of different individuals/species, which can then be input into standard 3DGM software and analyzed with dimension reduction techniques. We test this algorithm against several samples, primarily a dataset of 106 primate calcanei represented by 1,024 correspondence points per bone. Results of our automated analysis of these samples are compared to a published study using a traditional 3DGM approach with 27 landmarks on each bone. Data were analyzed with morphologika(2.5) and PAST. Our analyses returned strong correlations between principal component scores, similar variance partitioning among components, and similarities between the shape spaces generated by the automatic and traditional methods. While cluster analyses of both automatically generated and traditional datasets produced broadly similar patterns, there were also differences. Overall these results suggest to us that automatic quantifications can lead to shape spaces that are as meaningful as those based on observer landmarks, thereby presenting potential to save time in data collection, increase completeness of morphological quantification, eliminate observer error, and allow comparisons of shape diversity between different types of bones. We provide an R package for implementing this analysis. Anat Rec, 298:249-276, 2015. (c) 2014 Wiley Periodicals, Inc.