{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,8]],"date-time":"2025-10-08T22:22:17Z","timestamp":1759962137517},"reference-count":18,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2010,4,14]],"date-time":"2010-04-14T00:00:00Z","timestamp":1271203200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["American J Phys Anthropol"],"published-print":{"date-parts":[[2010,8]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Many recent studies have used long bone cross\u2010sectional 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\u2010sectional 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\u2013669, 2010. \u00a9 2010 Wiley\u2010Liss, Inc.<\/jats:p>","DOI":"10.1002\/ajpa.21299","type":"journal-article","created":{"date-parts":[[2010,4,14]],"date-time":"2010-04-14T23:35:25Z","timestamp":1271288125000},"page":"665-669","source":"Crossref","is-referenced-by-count":15,"title":["Technical note: An R program for automating bone cross section reconstruction"],"prefix":"10.1002","volume":"142","author":[{"given":"Adam D.","family":"Sylvester","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Evan","family":"Garofalo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christopher","family":"Ruff","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2010,4,14]]},"reference":[{"key":"e_1_2_7_2_1","first-page":"36","article-title":"Image processing with ImageJ","volume":"1","author":"Abramoff MD","year":"2004","journal-title":"Biophotonics Int"},{"key":"e_1_2_7_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/8756-3282(95)00438-6"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.1002\/ajpa.10256"},{"key":"e_1_2_7_5_1","doi-asserted-by":"publisher","DOI":"10.1002\/ajpa.20855"},{"key":"e_1_2_7_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhevol.2004.07.002"},{"key":"e_1_2_7_7_1","unstructured":"R Development Core Team.2009. 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