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The impact of anatomy variation on temperature based time of death estimation

Temperature-based time of death estimation using simulation methods such as the finite element method promise higher accuracy and broader applicability in nonstandard cooling scenarios than established phenomenological methods. Their accuracy depends crucially on the simulation model to capture the...

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Autores principales: Ullrich, Julia, Weiser, Martin, Shanmugam Subramaniam, Jayant, Schenkl, Sebastian, Muggenthaler, Holger, Hubig, Michael, Mall, Gita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10421832/
https://www.ncbi.nlm.nih.gov/pubmed/37395744
http://dx.doi.org/10.1007/s00414-023-03026-w
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author Ullrich, Julia
Weiser, Martin
Shanmugam Subramaniam, Jayant
Schenkl, Sebastian
Muggenthaler, Holger
Hubig, Michael
Mall, Gita
author_facet Ullrich, Julia
Weiser, Martin
Shanmugam Subramaniam, Jayant
Schenkl, Sebastian
Muggenthaler, Holger
Hubig, Michael
Mall, Gita
author_sort Ullrich, Julia
collection PubMed
description Temperature-based time of death estimation using simulation methods such as the finite element method promise higher accuracy and broader applicability in nonstandard cooling scenarios than established phenomenological methods. Their accuracy depends crucially on the simulation model to capture the actual situation, which in turn hinges on the representation of the corpse’s anatomy in form of computational meshes as well as on the thermodynamic parameters. While inaccuracies in anatomy representation due to coarse mesh resolution are known to have a minor impact on the estimated time of death, the sensitivity with respect to larger differences in the anatomy has so far not been studied. We assess this sensitivity by comparing four independently generated and vastly different anatomical models in terms of the estimated time of death in an identical cooling scenario. In order to isolate the impact of shape variation, the models are scaled to a reference size, and the possible impact of measurement location variation is excluded explicitly by finding measurement locations leading to minimum deviations. The thus obtained lower bound on the impact of anatomy on the estimated time of death shows, that anatomy variations lead to deviations of at least 5–10%.
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spelling pubmed-104218322023-08-13 The impact of anatomy variation on temperature based time of death estimation Ullrich, Julia Weiser, Martin Shanmugam Subramaniam, Jayant Schenkl, Sebastian Muggenthaler, Holger Hubig, Michael Mall, Gita Int J Legal Med Original Article Temperature-based time of death estimation using simulation methods such as the finite element method promise higher accuracy and broader applicability in nonstandard cooling scenarios than established phenomenological methods. Their accuracy depends crucially on the simulation model to capture the actual situation, which in turn hinges on the representation of the corpse’s anatomy in form of computational meshes as well as on the thermodynamic parameters. While inaccuracies in anatomy representation due to coarse mesh resolution are known to have a minor impact on the estimated time of death, the sensitivity with respect to larger differences in the anatomy has so far not been studied. We assess this sensitivity by comparing four independently generated and vastly different anatomical models in terms of the estimated time of death in an identical cooling scenario. In order to isolate the impact of shape variation, the models are scaled to a reference size, and the possible impact of measurement location variation is excluded explicitly by finding measurement locations leading to minimum deviations. The thus obtained lower bound on the impact of anatomy on the estimated time of death shows, that anatomy variations lead to deviations of at least 5–10%. Springer Berlin Heidelberg 2023-07-03 2023 /pmc/articles/PMC10421832/ /pubmed/37395744 http://dx.doi.org/10.1007/s00414-023-03026-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Ullrich, Julia
Weiser, Martin
Shanmugam Subramaniam, Jayant
Schenkl, Sebastian
Muggenthaler, Holger
Hubig, Michael
Mall, Gita
The impact of anatomy variation on temperature based time of death estimation
title The impact of anatomy variation on temperature based time of death estimation
title_full The impact of anatomy variation on temperature based time of death estimation
title_fullStr The impact of anatomy variation on temperature based time of death estimation
title_full_unstemmed The impact of anatomy variation on temperature based time of death estimation
title_short The impact of anatomy variation on temperature based time of death estimation
title_sort impact of anatomy variation on temperature based time of death estimation
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10421832/
https://www.ncbi.nlm.nih.gov/pubmed/37395744
http://dx.doi.org/10.1007/s00414-023-03026-w
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