Emily R Streetman
Defense POW/MIA Accounting Agency, Scientific Analysis, Department Member
- University of Nebraska Lincoln, Forensic Science, Department Memberadd
- Anthropology, Forensic Anthropology, Bioarchaeology, Physical Anthropology, Medieval Nubia, Medieval Archaeology, and 23 moreBiological Anthropology, Funerary Archaeology, Forensic Science, Nubia, Christian Nubia, Archaeology, Race and Ethnicity, Paleopathology, Aging, Fracture Mechanics, Skeletal Biology, African Archaeology, Egypt (Archaeology), Bone trauma, Subadult Stress, Kerma, Nubian Archaeology, Ancient Nubia, Nubian studies, Osteoarchaeology, Osteology, Human Osteology, and Sudanese Archaeologyedit
- Emily Streetman completed her PhD at the Department of Anthropology at Michigan State University in Spring 2018. She ... moreEmily Streetman completed her PhD at the Department of Anthropology at Michigan State University in Spring 2018. She is currently an anthropologist for SNA International supporting the Defense POW/MIA Accounting Agency (DPAA) at Offutt Air Force Base in Nebraska. Specific interests in forensic anthropology include positive identification of human remains using comparative medical radiography.edit
Research Interests:
Research Interests:
The purpose of this presentation is to report classification rates for ancestry based on cranial morphoscopic traits in a three-population sample. After attending this presentation, audience members will better understand how qualitative... more
The purpose of this presentation is to report classification rates for ancestry based on cranial morphoscopic traits in a three-population sample. After attending this presentation, audience members will better understand how qualitative data can accurately predict ancestry from skeletal remains.
Medical examiners regularly consult forensic anthropologists to assist in identifying skeletonized human remains. When identity is unknown, the forensic anthropologist narrows down the possibilities using a biological profile based on skeletal information, including age, sex, ancestry, and stature. Ancestry is used in matching unknown remains to missing persons reports and is an important component of the biological profile.
Ancestry can be assessed visually using the skull. Traditionally, this method compared features of the skull against “ideal” or extreme trait lists (e.g., Rhine 1990). However, Hefner has pushed for an emphasis on statistical analysis using defined character states and has had success in a two-group analysis differentiating between American Blacks and American Whites (2009).
The present study predicted that statistical analysis of categorical data could successfully determine ancestry among three groups: American Blacks, American Whites, and Thais. Data was collected from 95 male and 99 female skulls (total n=194) from the Khon Kaen University (Thailand) skeletal collection and added to the existing dataset.
Preliminary results support the hypothesis that ancestry can be successfully predicted from morphoscopic traits of the skull. Discriminant function analysis using ten variables produced an overall classification rate of 76.7% (cross-validated).
This study contributes to ongoing research to improve ancestry classification based on cranial morphology. Quantitative analysis is vital to this method, so that results can properly be considered scientific. The inclusion of Southeast Asian individuals fills a significant gap in the data, and results support the continued use of morphoscopic traits for determination of ancestry.
Medical examiners regularly consult forensic anthropologists to assist in identifying skeletonized human remains. When identity is unknown, the forensic anthropologist narrows down the possibilities using a biological profile based on skeletal information, including age, sex, ancestry, and stature. Ancestry is used in matching unknown remains to missing persons reports and is an important component of the biological profile.
Ancestry can be assessed visually using the skull. Traditionally, this method compared features of the skull against “ideal” or extreme trait lists (e.g., Rhine 1990). However, Hefner has pushed for an emphasis on statistical analysis using defined character states and has had success in a two-group analysis differentiating between American Blacks and American Whites (2009).
The present study predicted that statistical analysis of categorical data could successfully determine ancestry among three groups: American Blacks, American Whites, and Thais. Data was collected from 95 male and 99 female skulls (total n=194) from the Khon Kaen University (Thailand) skeletal collection and added to the existing dataset.
Preliminary results support the hypothesis that ancestry can be successfully predicted from morphoscopic traits of the skull. Discriminant function analysis using ten variables produced an overall classification rate of 76.7% (cross-validated).
This study contributes to ongoing research to improve ancestry classification based on cranial morphology. Quantitative analysis is vital to this method, so that results can properly be considered scientific. The inclusion of Southeast Asian individuals fills a significant gap in the data, and results support the continued use of morphoscopic traits for determination of ancestry.
Research Interests:
Research Interests:
Testing Stature Equations on a medieval Upper Nubian sample
The goals of this presentation are twofold: (1) to report the findings of research investigating the use of lateral patella radiographs as a means of positive radiographic identification of unknown human remains; and (2) to report the... more
The goals of this presentation are twofold: (1) to report the findings of research investigating the use of lateral patella radiographs as a means of positive radiographic identification of unknown human remains; and (2) to report the results of quantitative matching of two-dimensional patellae images using Elliptical Fourier Analysis.
This presentation will impact the forensic community by demonstrating the accuracy of positive identification utilizing medical radiographs of the lateral patella, as well as demonstrate the feasibility for quantified methods to match 2D images of bone scans with radiographs. Results from these studies will help bring positive identification using medical lateral patella radiographs into compliance with Daubert standards.
Two hypotheses were tested: (1) Experienced forensic anthropologists can accurately match lateral patella radiographs; and (2) Three-dimensionally imaged patellae can be accurately matched with lateral patella radiographs using Elliptical Fourier analysis (EFA).
The study sample was provided by the Willed Body Program, Michigan State University Department of Radiology.
Radiographs were taken using a General Electric Amx2 portable X-ray unit. Radiographs were taken according to the standards for radiographic imaging of the patella from the lateral aspect. The distance between the X-ray source and the film was 40 inches, with an exposure of about 60kVp/5mAs. All specimens were radiographed once, then five were radiographed a second time attempting to match the angle of the first image. The first set of images served as simulated antemortem radiographs while the second set served as postmortem radiographs to enable comparisons.
An antemortem pool (n=20) and the five reset radiographs (n=5) comprised the survey radiographs. Images were blocked out with cardstock, leaving only the patella visible. Practicing forensic anthropologists and graduate students in forensic anthropology were asked to match postmortem to antemortem images, or answer “no match.” The survey also collected demographic information to analyze the effect of education and experience on accuracy. At the time of abstract submission, 22 completed surveys demonstrate high rates of accuracy (99.5%), sensitivity (98.2%), and specificity (100%).
A Canon model EOS-40D camera was used to digitize the radiographs on a copy stand with backlighting. Digital images were cropped and equalized in Adobe® Photoshop® CS5. Each patella was then outlined using the Pen tool. The outline was saved as a bitmap (BMP) file for input into SHAPE v1.3.
A NextEngine® scanner digitized each patella’s surface in 3D (n=23). A series of 15 2D images were serially captured from the 3D model for comparison to the 2D radiographs. The degree of rotation spanned -15°/+15° around the antero-posterior axis and -10°/+10° around the supero-inferior axis.
The SHAPE v1.3 suite generated Fourier descriptors for all images using 40 harmonics (i.e., 345 2D images generated from the 3D scans and 22 patella radiographs). The sum of the squared differences between the Fourier descriptors for the 3D model and the radiographs was calculated and individuals ranked according to this number. The top-ranked image was accurately matched to the radiographic outline in question in 72% of cases. In an applied situation, creation of a “short list” might be preferred so an expert can then visually determine a match. In this case, note that in 20 of 22 specimens, a correct match was found within the top 5 of 345 images (1.4%).
Since this sample is relatively homogeneous (mostly elderly white Americans), positive results should be applicable to a more heterogeneous sample. However, increased formation of bony spurs with age may increase heterogeneity. Further studies using EFA should confirm these findings, perhaps including more young individuals.
This project has demonstrated the uniqueness of the human patella in two ways. The survey results indicate that medical radiographs of the lateral patella are valid for use in positive human identification due to individualizing trabecular patterns, bony spurs, and overall shape. In addition, this study adds to the literature on the value of EFA in positive human identification because the lateral outlines of patellae are quantitatively distinguishable, reinforcing that these structures are unique and valuable in forensic casework.
This presentation will impact the forensic community by demonstrating the accuracy of positive identification utilizing medical radiographs of the lateral patella, as well as demonstrate the feasibility for quantified methods to match 2D images of bone scans with radiographs. Results from these studies will help bring positive identification using medical lateral patella radiographs into compliance with Daubert standards.
Two hypotheses were tested: (1) Experienced forensic anthropologists can accurately match lateral patella radiographs; and (2) Three-dimensionally imaged patellae can be accurately matched with lateral patella radiographs using Elliptical Fourier analysis (EFA).
The study sample was provided by the Willed Body Program, Michigan State University Department of Radiology.
Radiographs were taken using a General Electric Amx2 portable X-ray unit. Radiographs were taken according to the standards for radiographic imaging of the patella from the lateral aspect. The distance between the X-ray source and the film was 40 inches, with an exposure of about 60kVp/5mAs. All specimens were radiographed once, then five were radiographed a second time attempting to match the angle of the first image. The first set of images served as simulated antemortem radiographs while the second set served as postmortem radiographs to enable comparisons.
An antemortem pool (n=20) and the five reset radiographs (n=5) comprised the survey radiographs. Images were blocked out with cardstock, leaving only the patella visible. Practicing forensic anthropologists and graduate students in forensic anthropology were asked to match postmortem to antemortem images, or answer “no match.” The survey also collected demographic information to analyze the effect of education and experience on accuracy. At the time of abstract submission, 22 completed surveys demonstrate high rates of accuracy (99.5%), sensitivity (98.2%), and specificity (100%).
A Canon model EOS-40D camera was used to digitize the radiographs on a copy stand with backlighting. Digital images were cropped and equalized in Adobe® Photoshop® CS5. Each patella was then outlined using the Pen tool. The outline was saved as a bitmap (BMP) file for input into SHAPE v1.3.
A NextEngine® scanner digitized each patella’s surface in 3D (n=23). A series of 15 2D images were serially captured from the 3D model for comparison to the 2D radiographs. The degree of rotation spanned -15°/+15° around the antero-posterior axis and -10°/+10° around the supero-inferior axis.
The SHAPE v1.3 suite generated Fourier descriptors for all images using 40 harmonics (i.e., 345 2D images generated from the 3D scans and 22 patella radiographs). The sum of the squared differences between the Fourier descriptors for the 3D model and the radiographs was calculated and individuals ranked according to this number. The top-ranked image was accurately matched to the radiographic outline in question in 72% of cases. In an applied situation, creation of a “short list” might be preferred so an expert can then visually determine a match. In this case, note that in 20 of 22 specimens, a correct match was found within the top 5 of 345 images (1.4%).
Since this sample is relatively homogeneous (mostly elderly white Americans), positive results should be applicable to a more heterogeneous sample. However, increased formation of bony spurs with age may increase heterogeneity. Further studies using EFA should confirm these findings, perhaps including more young individuals.
This project has demonstrated the uniqueness of the human patella in two ways. The survey results indicate that medical radiographs of the lateral patella are valid for use in positive human identification due to individualizing trabecular patterns, bony spurs, and overall shape. In addition, this study adds to the literature on the value of EFA in positive human identification because the lateral outlines of patellae are quantitatively distinguishable, reinforcing that these structures are unique and valuable in forensic casework.
See abstract in 2013 AAFS Presentation listing for this study.