Eigenfemora—Age-at-Death Estimation in the Proximal Femur through an Image Processing Approach - Archive ouverte HAL
Article Dans Une Revue Forensic Sciences Année : 2023

Eigenfemora—Age-at-Death Estimation in the Proximal Femur through an Image Processing Approach

Résumé

Estimating age at death is essential to establish biological profiles from human skeletal remains in both forensic and archeological settings. Imaging studies of skeletal age changes in adults have described the 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 consistency in 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 that can lead to inconsistent age estimates among experts.

Dates et versions

hal-04544220 , version 1 (12-04-2024)

Identifiants

Citer

David Navega, Maria Teresa Ferreira, Francisco Curate. Eigenfemora—Age-at-Death Estimation in the Proximal Femur through an Image Processing Approach. Forensic Sciences, 2023, 4 (1), pp.1-11. ⟨10.3390/forensicsci4010001⟩. ⟨hal-04544220⟩

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