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A novel method for pair-matching using three-dimensional digital models of bone: mesh-to-mesh value comparison
The commingling of human remains often hinders forensic/physical anthropologists during the identification process, as there are limited methods to accurately sort these remains. This study investigates a new method for pair-matching, a common individualization technique, which uses digital three-di...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4976056/ https://www.ncbi.nlm.nih.gov/pubmed/26966098 http://dx.doi.org/10.1007/s00414-016-1334-3 |
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author | Karell, Mara A. Langstaff, Helen K. Halazonetis, Demetrios J. Minghetti, Caterina Frelat, Mélanie Kranioti, Elena F. |
author_facet | Karell, Mara A. Langstaff, Helen K. Halazonetis, Demetrios J. Minghetti, Caterina Frelat, Mélanie Kranioti, Elena F. |
author_sort | Karell, Mara A. |
collection | PubMed |
description | The commingling of human remains often hinders forensic/physical anthropologists during the identification process, as there are limited methods to accurately sort these remains. This study investigates a new method for pair-matching, a common individualization technique, which uses digital three-dimensional models of bone: mesh-to-mesh value comparison (MVC). The MVC method digitally compares the entire three-dimensional geometry of two bones at once to produce a single value to indicate their similarity. Two different versions of this method, one manual and the other automated, were created and then tested for how well they accurately pair-matched humeri. Each version was assessed using sensitivity and specificity. The manual mesh-to-mesh value comparison method was 100 % sensitive and 100 % specific. The automated mesh-to-mesh value comparison method was 95 % sensitive and 60 % specific. Our results indicate that the mesh-to-mesh value comparison method overall is a powerful new tool for accurately pair-matching commingled skeletal elements, although the automated version still needs improvement. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00414-016-1334-3) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4976056 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-49760562016-08-18 A novel method for pair-matching using three-dimensional digital models of bone: mesh-to-mesh value comparison Karell, Mara A. Langstaff, Helen K. Halazonetis, Demetrios J. Minghetti, Caterina Frelat, Mélanie Kranioti, Elena F. Int J Legal Med Original Article The commingling of human remains often hinders forensic/physical anthropologists during the identification process, as there are limited methods to accurately sort these remains. This study investigates a new method for pair-matching, a common individualization technique, which uses digital three-dimensional models of bone: mesh-to-mesh value comparison (MVC). The MVC method digitally compares the entire three-dimensional geometry of two bones at once to produce a single value to indicate their similarity. Two different versions of this method, one manual and the other automated, were created and then tested for how well they accurately pair-matched humeri. Each version was assessed using sensitivity and specificity. The manual mesh-to-mesh value comparison method was 100 % sensitive and 100 % specific. The automated mesh-to-mesh value comparison method was 95 % sensitive and 60 % specific. Our results indicate that the mesh-to-mesh value comparison method overall is a powerful new tool for accurately pair-matching commingled skeletal elements, although the automated version still needs improvement. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00414-016-1334-3) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2016-03-10 2016 /pmc/articles/PMC4976056/ /pubmed/26966098 http://dx.doi.org/10.1007/s00414-016-1334-3 Text en © The Author(s) 2016 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Article Karell, Mara A. Langstaff, Helen K. Halazonetis, Demetrios J. Minghetti, Caterina Frelat, Mélanie Kranioti, Elena F. A novel method for pair-matching using three-dimensional digital models of bone: mesh-to-mesh value comparison |
title | A novel method for pair-matching using three-dimensional digital models of bone: mesh-to-mesh value comparison |
title_full | A novel method for pair-matching using three-dimensional digital models of bone: mesh-to-mesh value comparison |
title_fullStr | A novel method for pair-matching using three-dimensional digital models of bone: mesh-to-mesh value comparison |
title_full_unstemmed | A novel method for pair-matching using three-dimensional digital models of bone: mesh-to-mesh value comparison |
title_short | A novel method for pair-matching using three-dimensional digital models of bone: mesh-to-mesh value comparison |
title_sort | novel method for pair-matching using three-dimensional digital models of bone: mesh-to-mesh value comparison |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4976056/ https://www.ncbi.nlm.nih.gov/pubmed/26966098 http://dx.doi.org/10.1007/s00414-016-1334-3 |
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