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A review of visualization techniques of post-mortem computed tomography data for forensic death investigations

Ebert, Lars C; Franckenberg, Sabine; Sieberth, Till; Schweitzer, Wolf; Thali, Michael; Ford, Jonathan; Decker, Summer (2021). A review of visualization techniques of post-mortem computed tomography data for forensic death investigations. International Journal of Legal Medicine, 135(5):1855-1867.

Abstract

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.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > Institute of Legal Medicine
Dewey Decimal Classification:340 Law
610 Medicine & health
510 Mathematics
Scopus Subject Areas:Health Sciences > Pathology and Forensic Medicine
Uncontrolled Keywords:Pathology and Forensic Medicine
Language:English
Date:30 April 2021
Deposited On:19 Jul 2021 09:54
Last Modified:25 Dec 2024 02:39
Publisher:Springer
ISSN:0937-9827
OA Status:Hybrid
Free access at:PubMed ID. An embargo period may apply.
Publisher DOI:https://doi.org/10.1007/s00414-021-02581-4
PubMed ID:33931808
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