3D quantitative analysis of early decomposition changes of the human face
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Decomposition of the human body and human face is influenced, among other things, by environmental conditions. The early decomposition changes that modify the appearance of the face may hamper the recognition and identification of the deceased. Quantitative assessment of those changes may provide important information for forensic identification. This report presents a pilot 3D quantitative approach of tracking early decomposition changes of a single cadaver in controlled environmental conditions by summarizing the change with weekly morphological descriptions. The root mean square (RMS) value was used to evaluate the changes of the face after death. The results showed a high correlation (r = 0.863) between the measured RMS and the time since death. RMS values of each scan are presented, as well as the average weekly RMS values. The quantification of decomposition changes could improve the accuracy of antemortem facial approximation and potentially could allow the direct comparisons of antemortem and postmortem 3D scans.
Keywords3D scanning Decomposition changes Personal identification Facial morphology RMS values
Research received funding by the Department of Biomedical Sciences for Health, Università degli Studi di Milano (15-6-3016000-205).
- 1.Janaway RC, Percival SL, Wilson AS (2008) Decomposition of human remains. In: Percival SL (ed) Microbiology and aging. Clinical Manifestations. Springer Science & Business Media, Berlin, pp 313–335Google Scholar
- 2.Hayman J, Oxenham M (2016) Human body decomposition. Academic Press, CambridgeGoogle Scholar
- 3.DiMaio D, Dimaio VJM (2001) Forensic pathology, Second edn. CRC Press, Boca RatonGoogle Scholar
- 8.Schotsmans EMJ, Van de Voorde W, De Winne J, Wilson AS (2011) The impact of shallow burial on differential decomposition to the body: a temperate case study. Forensic Sci Int 206(1–3):e49–e48Google Scholar
- 15.Anderson-Darling Normality Test calculator. http://www.kevinotto.com/RSS/templates/Anderson-Darling Normality Test Calculator.xls. Accessed 30 March 2017
- 18.OECD (2015) Medical technologies. In: Health at a glance 2015: OECD indicators. OECD Publishing, Paris, pp 102–103Google Scholar