Header

UZH-Logo

Maintenance Infos

Just scan it! : weapon reconstruction in computed tomography on historical and current swiss military guns


Franckenberg, Sabine; Binder, Thomas; Bolliger, Stephan; Thali, Michael J; Ross, Steffen G (2016). Just scan it! : weapon reconstruction in computed tomography on historical and current swiss military guns. American Journal of Forensic Medicine and Pathology, 37(3):214-217.

Abstract

Cross-sectional imaging, such as computed tomography, has been increasingly implemented in both historic and recent postmortem forensic investigations. It aids in determining cause and manner of death as well as in correlating injuries to possible weapons. This study illuminates the feasibility of reconstructing guns in computed tomography and gives a distinct overview of historic and recent Swiss Army guns.

Abstract

Cross-sectional imaging, such as computed tomography, has been increasingly implemented in both historic and recent postmortem forensic investigations. It aids in determining cause and manner of death as well as in correlating injuries to possible weapons. This study illuminates the feasibility of reconstructing guns in computed tomography and gives a distinct overview of historic and recent Swiss Army guns.

Statistics

Altmetrics

Downloads

0 downloads since deposited on 27 Sep 2016
0 downloads since 12 months

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
Language:English
Date:2016
Deposited On:27 Sep 2016 10:54
Last Modified:27 Sep 2016 10:54
Publisher:Lippincott Williams & Wilkins
ISSN:0195-7910
Publisher DOI:https://doi.org/10.1097/PAF.0000000000000256

Download

Preview Icon on Download
Content: Published Version
Filetype: PDF - Registered users only until 1 September 2017
Size: 353kB
View at publisher
Embargo till: 2017-09-01

TrendTerms

TrendTerms displays relevant terms of the abstract of this publication and related documents on a map. The terms and their relations were extracted from ZORA using word statistics. Their timelines are taken from ZORA as well. The bubble size of a term is proportional to the number of documents where the term occurs. Red, orange, yellow and green colors are used for terms that occur in the current document; red indicates high interlinkedness of a term with other terms, orange, yellow and green decreasing interlinkedness. Blue is used for terms that have a relation with the terms in this document, but occur in other documents.
You can navigate and zoom the map. Mouse-hovering a term displays its timeline, clicking it yields the associated documents.

Author Collaborations