Technical Note: An R Program for Automating Bone Cross Section Reconstruction.
A study examined the R program for automating bone cross section reconstruction. The R program is a new freely available program developed for operational freeware. Data were obtained through comparison of cross-sectional properties calculated by using the new R program to those from peripheral qu...
| Publicado en: | American Journal of Physical Anthropology Vol. 142; no. 4; pp. 665 - 670 |
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| Autores principales: | , , |
| Formato: | Artículo |
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John Wiley & Sons, Inc.
August 2010
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=511525304&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 511525304 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00029483 APX jtl: American Journal of Physical Anthropology issn: 00029483 maglogo: N pubinfo: dt: August 2010 vid: 142 iid: 4 pid: 1246 pub: John Wiley & Sons, Inc. artinfo: ui: 511525304 10.1002/ajpa.21299 ppf: 665 ppct: 5 formats: tig: atl: Technical Note: An R Program for Automating Bone Cross Section Reconstruction. aug: au: Sylvester, Adam D. Garofalo, Evan Ruff, Christopher su: Bone mechanics Size of bones Bone measurement Image processing Anthropology Computer software sug: subj: Bone mechanics Size of bones Bone measurement Image processing Anthropology Computer software ab: A study examined the R program for automating bone cross section reconstruction. The R program is a new freely available program developed for operational freeware. Data were obtained through comparison of cross-sectional properties calculated by using the new R program to those from peripheral quantitative CT and the original manual method. Findings revealed that the R program worked as well as the original manual image processing for most cross sections, eliminated the chance for entry errors at several points, and significantly increased the speed of data collection. Findings are discussed in detail. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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