Navega, D.; Ferreira, M.T.; Curate, F. Eigenfemora—Age-at-Death Estimation in the Proximal Femur through an Image Processing Approach. Forensic Sci.2024, 4, 1-11.
Navega, D.; Ferreira, M.T.; Curate, F. Eigenfemora—Age-at-Death Estimation in the Proximal Femur through an Image Processing Approach. Forensic Sci. 2024, 4, 1-11.
Navega, D.; Ferreira, M.T.; Curate, F. Eigenfemora—Age-at-Death Estimation in the Proximal Femur through an Image Processing Approach. Forensic Sci.2024, 4, 1-11.
Navega, D.; Ferreira, M.T.; Curate, F. Eigenfemora—Age-at-Death Estimation in the Proximal Femur through an Image Processing Approach. Forensic Sci. 2024, 4, 1-11.
Abstract
Estimating age at death is essential to establish a biological profile from human skeletal remains in both forensic and archeological settings. Imaging studies of skeletal age changes in adults have described metamorphosis of trabecular bone structure and bone loss in the proximal femur , as well as changes in morphology during different stages of life. This study aims to assess the utility of a digital representation of conventional X-ray films of the proximal femur for the estimation of age at death in a sample of 91 adult individuals (47 females and 44 males) of the Coimbra Identified Skeletal Collection. The proposed approach showed a root mean squared error (RMSE) of 17.32 years (and mean absolute error of 13.47 years) for females and an RMSE of 14.06 years (mean absolute error of 11.08 years) for males. The main advantage of this approach is the consistency in the feature detection and extraction, as X-ray images projected on the femora space will always produce the same set features to be analyzed for age estimation while more traditional methods rely heavily on operator experience which can lead to inconsistent age estimates among experts.
Keywords
biological profile; radiology; bone loss; forensic anthropology
Subject
Biology and Life Sciences, Other
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.