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Technical note: An R program for automating bone cross section reconstruction
Author(s) -
Sylvester Adam D.,
Garofalo Evan,
Ruff Christopher
Publication year - 2010
Publication title -
american journal of physical anthropology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.146
H-Index - 119
eISSN - 1096-8644
pISSN - 0002-9483
DOI - 10.1002/ajpa.21299
Subject(s) - computer science , cross section (physics) , process (computing) , section (typography) , image processing , image (mathematics) , computer graphics (images) , artificial intelligence , physics , quantum mechanics , operating system
Many recent studies have used long bone cross‐sectional geometric properties in various comparative analyses. Methods have been described for reconstructing diaphyseal cross sections from external molds and biplanar radiographs that produce accurate results (within 5% of true values on average). The manual image processing required, however, is both time and labor intensive. A new freely available program developed here for the computational freeware, R, automates much of the process. This study compares cross‐sectional properties calculated using the new R program to those from peripheral quantitative CT (pQCT) and the original manual method. We find that the R program works aswell as the original manual image processing for most cross sections eliminates the chance for entry errors at several steps and greatly speeds up data collection. Am J Phys Anthropol 142:665–669, 2010. © 2010 Wiley‐Liss, Inc.