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dc.contributor.supervisor Hoppa, Robert D. (Anthropology) en_US
dc.contributor.author Lidstone, Laura J.
dc.date.accessioned 2011-09-09T20:40:57Z
dc.date.available 2011-09-09T20:40:57Z
dc.date.issued 2011-09-09
dc.identifier.uri http://hdl.handle.net/1993/4875
dc.description.abstract A plethora of anthropological studies have been undertaken on the skull, including many analyses of sexual dimorphism. Sexual dimorphism reflected in the eye orbits has not always demonstrated consistent or reliable results. However, recent studies (Pretorius, Steyn, & Scholtz, 2006; Ji et al., 2010) suggest some positive results utilizing geometric morphometrics to predict sex. Utilizing 97 post-mortem CT (computed tomography) scans, established morphological and metric techniques for sex determination were assessed from 3D rendered models of the crania. In addition, landmark data were collected on the orbital margin to evaluate the accuracy of sex determination using geometric morphometric techniques. Traditional methods demonstrated poor levels of accuracy for prediction of sex, however, utilizing generalised procrustes analysis and discriminant function analysis on 3D landmark data resulted in 94.95% overall accuracy. Application of recent methodological advances, including geometric morphometrics, should continue to be developed as it increases the ability to assess sexual dimorphism which will allow for greater identification of unknown remains. en_US
dc.rights info:eu-repo/semantics/openAccess
dc.subject sex determination en_US
dc.subject skull en_US
dc.subject geometric morphometric en_US
dc.subject computed tomography en_US
dc.subject eye orbit en_US
dc.title Analysis of sexual dimorphism in human eye orbits using computed tomography en_US
dc.type info:eu-repo/semantics/masterThesis
dc.degree.discipline Anthropology en_US
dc.contributor.examiningcommittee Burke, Stacie (Anthropology) Klonisch, Thomas (Human Anatomy and Cell Science) en_US
dc.degree.level Master of Arts (M.A.) en_US
dc.description.note October 2011 en_US


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