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Testing Reliability of the Computational Age-At-Death Estimation Methods between Five Observers Using Three-Dimensional Image Data of the Pubic Symphysis

NCJ Number
253897
Date Published
2019
Length
12 pages
Author(s)
Jieum Kim; Bridget F.B. Algee-Hewitt; Dete K. Stoyanova; Cristina Figueroa-Soto; Dennis E. Slice
Agencies
NIJ-Sponsored
Publication Type
Test/Measurement, Research (Applied/Empirical), Report (Study/Research), Report (Grant Sponsored), Program/Project Description
Grant Number(s)
2015-DN-BX-K010
Annotation
In an effort to standardize data collection and analysis in age estimation at time of death, a series of computational methods utilizing high-dimensional image data of the age indicator have recently been proposed as an alternative to subjective visual, trait-to-phase matching techniques; the current study systematically quantified the reproducibility of such methods by investigating the intrascan variability and within- and between -observer reliability in initial scan data, capturing and editing using 3D laser scans of the Suchey-Brooks pubic symphysis casts and five shape-based computational methods.
Abstract
The results of this study show that (1) five observers with various training background and experience levels edited the scans consistently for all three trials and the derived shape measures and age estimates were in excellent agreement among observers, and (2) the computational methods were robust to a measured degree of scan trimming error. This study supports the application of computational methods to 3D laser scanned images for reliable age at death estimation, with reduced subjectivity. (publisher abstract modified)
Date Created: July 20, 2021