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A review of visualization techniques of post-mortem computed tomography data for forensic death investigations
Postmortem computed tomography (PMCT) is a standard image modality used in forensic death investigations. Case- and audience-specific visualizations are vital for identifying relevant findings and communicating them appropriately. Different data types and visualization methods exist in 2D and 3D, an...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8354982/ https://www.ncbi.nlm.nih.gov/pubmed/33931808 http://dx.doi.org/10.1007/s00414-021-02581-4 |
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author | Ebert, Lars Christian Franckenberg, Sabine Sieberth, Till Schweitzer, Wolf Thali, Michael Ford, Jonathan Decker, Summer |
author_facet | Ebert, Lars Christian Franckenberg, Sabine Sieberth, Till Schweitzer, Wolf Thali, Michael Ford, Jonathan Decker, Summer |
author_sort | Ebert, Lars Christian |
collection | PubMed |
description | Postmortem computed tomography (PMCT) is a standard image modality used in forensic death investigations. Case- and audience-specific visualizations are vital for identifying relevant findings and communicating them appropriately. Different data types and visualization methods exist in 2D and 3D, and all of these types have specific applications. 2D visualizations are more suited for the radiological assessment of PMCT data because they allow the depiction of subtle details. 3D visualizations are better suited for creating visualizations for medical laypersons, such as state attorneys, because they maintain the anatomical context. Visualizations can be refined by using additional techniques, such as annotation or layering. Specialized methods such as 3D printing and virtual and augmented reality often require data conversion. The resulting data can also be used to combine PMCT data with other 3D data such as crime scene laser scans to create crime scene reconstructions. Knowledge of these techniques is essential for the successful handling of PMCT data in a forensic setting. In this review, we present an overview of current visualization techniques for PMCT. |
format | Online Article Text |
id | pubmed-8354982 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-83549822021-08-25 A review of visualization techniques of post-mortem computed tomography data for forensic death investigations Ebert, Lars Christian Franckenberg, Sabine Sieberth, Till Schweitzer, Wolf Thali, Michael Ford, Jonathan Decker, Summer Int J Legal Med Review Postmortem computed tomography (PMCT) is a standard image modality used in forensic death investigations. Case- and audience-specific visualizations are vital for identifying relevant findings and communicating them appropriately. Different data types and visualization methods exist in 2D and 3D, and all of these types have specific applications. 2D visualizations are more suited for the radiological assessment of PMCT data because they allow the depiction of subtle details. 3D visualizations are better suited for creating visualizations for medical laypersons, such as state attorneys, because they maintain the anatomical context. Visualizations can be refined by using additional techniques, such as annotation or layering. Specialized methods such as 3D printing and virtual and augmented reality often require data conversion. The resulting data can also be used to combine PMCT data with other 3D data such as crime scene laser scans to create crime scene reconstructions. Knowledge of these techniques is essential for the successful handling of PMCT data in a forensic setting. In this review, we present an overview of current visualization techniques for PMCT. Springer Berlin Heidelberg 2021-04-30 2021 /pmc/articles/PMC8354982/ /pubmed/33931808 http://dx.doi.org/10.1007/s00414-021-02581-4 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 | Review Ebert, Lars Christian Franckenberg, Sabine Sieberth, Till Schweitzer, Wolf Thali, Michael Ford, Jonathan Decker, Summer A review of visualization techniques of post-mortem computed tomography data for forensic death investigations |
title | A review of visualization techniques of post-mortem computed tomography data for forensic death investigations |
title_full | A review of visualization techniques of post-mortem computed tomography data for forensic death investigations |
title_fullStr | A review of visualization techniques of post-mortem computed tomography data for forensic death investigations |
title_full_unstemmed | A review of visualization techniques of post-mortem computed tomography data for forensic death investigations |
title_short | A review of visualization techniques of post-mortem computed tomography data for forensic death investigations |
title_sort | review of visualization techniques of post-mortem computed tomography data for forensic death investigations |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8354982/ https://www.ncbi.nlm.nih.gov/pubmed/33931808 http://dx.doi.org/10.1007/s00414-021-02581-4 |
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