| Autor: |
Verena-Maria Schmidt, Philipp Zelger, Claudia Woess, Anton K. Pallua, Rohit Arora, Gerald Degenhart, Andrea Brunner, Bettina Zelger, Michael Schirmer, Walter Rabl, Johannes D. Pallua |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Biology, Vol 11, Iss 8, p 1105 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2079-7737 |
| DOI: |
10.3390/biology11081105 |
| Popis: |
It is challenging to estimate the post-mortem interval (PMI) of skeletal remains within a forensic context. As a result of their interactions with the environment, bones undergo several chemical and physical changes after death. So far, multiple methods have been used to follow up on post-mortem changes. There is, however, no definitive way to estimate the PMI of skeletal remains. This research aimed to propose a methodology capable of estimating the PMI using micro-computed tomography measurements of 104 human skeletal remains with PMIs between one day and 2000 years. The present study indicates that micro-computed tomography could be considered an objective and precise method of PMI evaluation in forensic medicine. The measured parameters show a significant difference regarding the PMI for Cort Porosity p < 0.001, BV/TV p > 0.001, Mean1 p > 0.001 and Mean2 p > 0.005. Using a machine learning approach, the neural network showed an accuracy of 99% for distinguishing between samples with a PMI of less than 100 years and archaeological samples. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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