Literature DB >> 20607698

Technical note: an R program for automating bone cross section reconstruction.

Adam D Sylvester1, Evan Garofalo, Christopher Ruff.   

Abstract

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. Copyright 2010 Wiley-Liss, Inc.

Mesh:

Year:  2010        PMID: 20607698     DOI: 10.1002/ajpa.21299

Source DB:  PubMed          Journal:  Am J Phys Anthropol        ISSN: 0002-9483            Impact factor:   2.868


  3 in total

1.  Gradual decline in mobility with the adoption of food production in Europe.

Authors:  Christopher B Ruff; Brigitte Holt; Markku Niskanen; Vladimir Sladek; Margit Berner; Evan Garofalo; Heather M Garvin; Martin Hora; Juho-Antti Junno; Eliska Schuplerova; Rosa Vilkama; Erin Whittey
Journal:  Proc Natl Acad Sci U S A       Date:  2015-05-18       Impact factor: 11.205

2.  Effect of deriving periosteal and endosteal contours from microCT scans on computation of cross-sectional properties in non-adults: the femur.

Authors:  Vladimír Sládek; Veronika Sabolová; Ondřej Šebesta; Tomáš Zikmund; Jozef Kaiser; Simona Čerevková
Journal:  J Anat       Date:  2018-05-31       Impact factor: 2.610

3.  Limb Bone Structural Proportions and Locomotor Behavior in A.L. 288-1 ("Lucy").

Authors:  Christopher B Ruff; M Loring Burgess; Richard A Ketcham; John Kappelman
Journal:  PLoS One       Date:  2016-11-30       Impact factor: 3.240

  3 in total

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