From Event: SPIE Optical Engineering + Applications, 2016
Forensic anthropologists are routinely asked to estimate a biological profile (i.e., age, sex, ancestry and
stature) from a set of unidentified remains. In contrast to the abundance of collections and techniques associated with
adult skeletons, there is a paucity of modern, documented subadult skeletal material, which limits the creation and
validation of appropriate forensic standards. Many are forced to use antiquated methods derived from small sample
sizes, which given documented secular changes in the growth and development of children, are not appropriate for
application in the medico-legal setting. Therefore, the aim of this project is to use multi-slice computed tomography
(MSCT) data from a large, diverse sample of modern subadults to develop new methods to estimate subadult age and
sex for practical forensic applications. The research sample will consist of over 1,500 full-body MSCT scans of
modern subadult individuals (aged birth to 20 years) obtained from two U.S. medical examiner’s offices. Statistical
analysis of epiphyseal union scores, long bone osteometrics, and os coxae landmark data will be used to develop
modern subadult age and sex estimation standards. This project will result in a database of information gathered from
the MSCT scans, as well as the creation of modern, statistically rigorous standards for skeletal age and sex estimation
in subadults. Furthermore, the research and methods developed in this project will be applicable to dry bone
specimens, MSCT scans, and radiographic images, thus providing both tools and continued access to data for forensic
practitioners in a variety of settings.
Michala K. Stock, Kyra E. Stull, Heather M. Garvin, and Alexandra R. Klales, "Development of modern human subadult age and sex estimation standards using multi-slice computed tomography images from medical examiner’s offices," Proc. SPIE 9967, Developments in X-Ray Tomography X, 99670E (Presented at SPIE Optical Engineering + Applications: August 29, 2016; Published: 4 October 2016); https://doi.org/10.1117/12.2237180.
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