A New Fully Automated Approach for Aligning and Comparing Shapes

Anatomical Record - Tập 298 Số 1 - Trang 249-276 - 2015
Douglas Boyer1, Jesús Puente2, Justin T. Gladman3,4, Chris Glynn5, Sayan Mukherjee6,7,5, Gabriel Yapuncich1, Miguel R. D. Rodrigues7
1Department of Evolutionary Anthropology, Duke University, Durham, North Carolina
2Program in Applied and Computational Mathematics, Princeton University, Princeton, New Jersey
3NYCEP, New York Consortium in Evolutionary Primatology New York New York
4PhD Program in Anthropology Graduate Center, CUNY New York New York
5Department of Statistical Science, Duke University, Durham, North Carolina
6Department of Computer Science, Duke University, Durham, North Carolina
7Department of Mathematics, Duke University, Durham, North Carolina

Tóm tắt

ABSTRACTThree‐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 morphologika2.5 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. © 2014 Wiley Periodicals, Inc.

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Anatomical Record

Tập 298 Số 1

249-276

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