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Error estimation on extracorporeal trajectory determination from body scans

This study explores the magnitude of two sources of error that are introduced when extracorporeal bullet trajectories are based on post-mortem computed tomography (PMCT) and/or surface scanning of a body. The first source of error is caused by an altered gravitational pull on soft tissue, which is i...

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Autores principales: Riva, F., Buck, U., Buße, K., Hermsen, R., Mattijssen, E. J. A. T., Kerkhoff, W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005399/
https://www.ncbi.nlm.nih.gov/pubmed/34424386
http://dx.doi.org/10.1007/s00414-021-02676-y
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author Riva, F.
Buck, U.
Buße, K.
Hermsen, R.
Mattijssen, E. J. A. T.
Kerkhoff, W.
author_facet Riva, F.
Buck, U.
Buße, K.
Hermsen, R.
Mattijssen, E. J. A. T.
Kerkhoff, W.
author_sort Riva, F.
collection PubMed
description This study explores the magnitude of two sources of error that are introduced when extracorporeal bullet trajectories are based on post-mortem computed tomography (PMCT) and/or surface scanning of a body. The first source of error is caused by an altered gravitational pull on soft tissue, which is introduced when a body is scanned in another position than it had when hit. The second source of error is introduced when scanned images are translated into a virtual representation of the victim’s body. To study the combined magnitude of these errors, virtual shooting trajectories with known vertical angles through five “victims” (live test persons) were simulated. The positions of the simulated wounds on the bodies were marked, with the victims in upright positions. Next, the victims were scanned in supine position, using 3D surface scanning, similar to a body’s position when scanned during a PMCT. Seven experts, used to working with 3D data, were asked to determine the bullet trajectories based on the virtual representations of the bodies. The errors between the known and determined trajectories were analysed and discussed. The results of this study give a feel for the magnitude of the introduced errors and can be used to reconstruct actual shooting incidents using PMCT data.
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spelling pubmed-90053992022-04-14 Error estimation on extracorporeal trajectory determination from body scans Riva, F. Buck, U. Buße, K. Hermsen, R. Mattijssen, E. J. A. T. Kerkhoff, W. Int J Legal Med Short Communication This study explores the magnitude of two sources of error that are introduced when extracorporeal bullet trajectories are based on post-mortem computed tomography (PMCT) and/or surface scanning of a body. The first source of error is caused by an altered gravitational pull on soft tissue, which is introduced when a body is scanned in another position than it had when hit. The second source of error is introduced when scanned images are translated into a virtual representation of the victim’s body. To study the combined magnitude of these errors, virtual shooting trajectories with known vertical angles through five “victims” (live test persons) were simulated. The positions of the simulated wounds on the bodies were marked, with the victims in upright positions. Next, the victims were scanned in supine position, using 3D surface scanning, similar to a body’s position when scanned during a PMCT. Seven experts, used to working with 3D data, were asked to determine the bullet trajectories based on the virtual representations of the bodies. The errors between the known and determined trajectories were analysed and discussed. The results of this study give a feel for the magnitude of the introduced errors and can be used to reconstruct actual shooting incidents using PMCT data. Springer Berlin Heidelberg 2021-08-23 2022 /pmc/articles/PMC9005399/ /pubmed/34424386 http://dx.doi.org/10.1007/s00414-021-02676-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Short Communication
Riva, F.
Buck, U.
Buße, K.
Hermsen, R.
Mattijssen, E. J. A. T.
Kerkhoff, W.
Error estimation on extracorporeal trajectory determination from body scans
title Error estimation on extracorporeal trajectory determination from body scans
title_full Error estimation on extracorporeal trajectory determination from body scans
title_fullStr Error estimation on extracorporeal trajectory determination from body scans
title_full_unstemmed Error estimation on extracorporeal trajectory determination from body scans
title_short Error estimation on extracorporeal trajectory determination from body scans
title_sort error estimation on extracorporeal trajectory determination from body scans
topic Short Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005399/
https://www.ncbi.nlm.nih.gov/pubmed/34424386
http://dx.doi.org/10.1007/s00414-021-02676-y
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