Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Mobile Images in the visualisation of characteristic dental features

Dissertation (MSc (Odontology))--University of Pretoria, 2022.

Saved in:
Bibliographic Details
Other Authors: Bernitz, Herman
Format: Thesis
Language:English
Published: University of Pretoria 2022
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1867613640428879872
access_status_str Open Access
author2 Bernitz, Herman
author_browse Bernitz, Herman
author_facet Bernitz, Herman
collection Thesis
dc_rights_str_mv © 2022 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Dissertation (MSc (Odontology))--University of Pretoria, 2022.
format Thesis
id oai:repository.up.ac.za:2263/84758
institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:39:21.733Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2022
publishDateRange 2022
publishDateSort 2022
publisher University of Pretoria
publisherStr University of Pretoria
record_format dspace
source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/84758 Mobile Images in the visualisation of characteristic dental features Bernitz, Herman vimby4@gmail.com Davidson, Christy Manyukwi, Vimbai UCTD Human forensic identification Identification Selfies Mobile Phones Record Keeping Dental Features Dissertation (MSc (Odontology))--University of Pretoria, 2022. Identification in forensic odontology requires that a known characteristic of an individual’s dentition be compared with the same characteristic of the unknown decedent. A vast number of bodies remain unidentified at medico-legal laboratory facilities in South Africa (SA). Determining the extent of this occurrence in SA is important, as these unidentified bodies have many social and economic consequences. When a positive identification has been established, investigations into the circumstances surrounding the death can begin. The positive identification of a body allows for closure to be obtained by that individual’s family and friends. In SA a number of factors render forensic identification of unknown individuals challenging. Many South Africans do not have access to modern dentistry, and consequently do not have ante-mortem dental records. In low socioeconomic areas of SA, where individuals might not have access to oral healthcare, studies show that 1 in 3 of those individuals has access to a smart phone. This study aimed at investigating mobile images, hereafter referred to as selfies, as a source of dental information in the form of characteristic dental features. Results of this study were disappointing as identifiable dental features could only be seen in 61 (5.6%) of the collected images (N=1098). The low number of useable selfies collected in this study could be the result of a lack of smiles and the poor quality of the images received. Individuals with poor dental aesthetics would commonly choose to take a selfie with a closed mouth where their teeth would not be visible. The most commonly identified dental features included: diastemas (49.2%), dental jewellery (37.7%), crowding (16.4%), difference in tooth height (16.4%) discoloured (8.2%) and missing teeth (8.2%). The importance of good oral health and an aesthetic smile cannot be over emphasised. Awareness of the importance of selfies in forensic identification should be increased. Odontology MSc (Odontology) Unrestricted 2022-03-31T13:47:52Z 2022-03-31T13:47:52Z 2022-09 2022 Dissertation * S2022 http://hdl.handle.net/2263/84758 en © 2022 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle UCTD
Human forensic identification
Identification
Selfies
Mobile Phones
Record Keeping
Dental Features
Mobile Images in the visualisation of characteristic dental features
title Mobile Images in the visualisation of characteristic dental features
title_full Mobile Images in the visualisation of characteristic dental features
title_fullStr Mobile Images in the visualisation of characteristic dental features
title_full_unstemmed Mobile Images in the visualisation of characteristic dental features
title_short Mobile Images in the visualisation of characteristic dental features
title_sort mobile images in the visualisation of characteristic dental features
topic UCTD
Human forensic identification
Identification
Selfies
Mobile Phones
Record Keeping
Dental Features
url http://hdl.handle.net/2263/84758