Evaluation of the applicability of regression equations for sorting commingled remains on 3-Dimensional bony elements from CT scans
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| Názov: | Evaluation of the applicability of regression equations for sorting commingled remains on 3-Dimensional bony elements from CT scans |
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| Autori: | Samantha De Simone, Lucina S. Hackman |
| Zdroj: | Forensic Science International. 301:160-165 |
| Informácie o vydavateľovi: | Elsevier BV, 2019. |
| Rok vydania: | 2019 |
| Predmety: | Forensic anthropology, Pilot Projects, Commingled scenarios, Forensic Anthropology/methods, 01 natural sciences, Bone and Bones, Imaging, 03 medical and health sciences, Imaging, Three-Dimensional, 0302 clinical medicine, Cadaver, Humans, Tomography, name=Pathology and Forensic Medicine, 3-D segmentation and reconstruction, Bone and Bones/diagnostic imaging, Reproducibility of Results, X-Ray Computed, Body Remains, 0104 chemical sciences, Three-Dimensional, Forensic Anthropology, Regression Analysis, CT scans, Forensic science, Human identification, Tomography, X-Ray Computed, Software |
| Popis: | This pilot study examines the applicability of osteometric models for addressing commingled remains, which were originally developed for dry specimens, on 3-Dimensional bony elements in relation to a modern cadaveric population. A total of 70 bony elements (humeri, radii, ulnae, femora, tibiae and fibulae) were segmented and virtually reconstructed from cadaveric whole-body CT scans. Linear measurements were taken (using MeshLab v.2016.12) of the 3-Dimensional elements and osteometric models for sorting applied to them (Byrd and Adams, 2003). This study showed that on the selected specimens the quality of the surface of the reconstructed specimens compromised the efficacy of the models, and consequently the reliability of the results. |
| Druh dokumentu: | Article |
| Popis súboru: | application/pdf |
| Jazyk: | English |
| ISSN: | 0379-0738 |
| DOI: | 10.1016/j.forsciint.2019.05.021 |
| Prístupová URL adresa: | https://discovery.dundee.ac.uk/ws/files/33578905/FSI_D_18_00611R2_3.pdf https://pubmed.ncbi.nlm.nih.gov/31158613 http://europepmc.org/article/MED/31158613 https://www.sciencedirect.com/science/article/pii/S0379073819302063 https://discovery.dundee.ac.uk/en/publications/evaluation-of-the-applicability-of-regression-equations-for-sorti https://pubag.nal.usda.gov/catalog/6449919 https://www.ncbi.nlm.nih.gov/pubmed/31158613 https://discovery.dundee.ac.uk/ws/files/33578905/FSI_D_18_00611R2_3.pdf |
| Rights: | Elsevier TDM CC BY NC ND |
| Prístupové číslo: | edsair.doi.dedup.....6f1880ad9957e08732c9c000eeb848d5 |
| Databáza: | OpenAIRE |
| Abstrakt: | This pilot study examines the applicability of osteometric models for addressing commingled remains, which were originally developed for dry specimens, on 3-Dimensional bony elements in relation to a modern cadaveric population. A total of 70 bony elements (humeri, radii, ulnae, femora, tibiae and fibulae) were segmented and virtually reconstructed from cadaveric whole-body CT scans. Linear measurements were taken (using MeshLab v.2016.12) of the 3-Dimensional elements and osteometric models for sorting applied to them (Byrd and Adams, 2003). This study showed that on the selected specimens the quality of the surface of the reconstructed specimens compromised the efficacy of the models, and consequently the reliability of the results. |
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| ISSN: | 03790738 |
| DOI: | 10.1016/j.forsciint.2019.05.021 |
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