Cost-effective 3D documentation device in forensic medicine.

3D reconstruction Evidence collection Forensic medicine Photogrammetry Raspberry Pi

Journal

Forensic science international
ISSN: 1872-6283
Titre abrégé: Forensic Sci Int
Pays: Ireland
ID NLM: 7902034

Informations de publication

Date de publication:
21 Mar 2024
Historique:
received: 24 07 2023
revised: 27 10 2023
accepted: 19 03 2024
medline: 25 3 2024
pubmed: 25 3 2024
entrez: 24 3 2024
Statut: aheadofprint

Résumé

3D documentation in forensics and forensic medicine is being introduced more frequently in various institutes around the world. However, several institutes lack capacity in finances as well as staff to perform 3D documentations regularly. This technical paper aims to present a 3D documentation device that is low cost and easy to use and is a viable entry level solution for forensic medical departments. For this the small single-board computer Raspberry Pi 4 was used in conjunction with its high quality (HQ) camera module to create the 3DLamp - a flexible, low cost and easy to use documentation device. Besides a detailed description of the device this paper also presents four case examples where a 3D documentation was performed and analyses the acquired data and the created 3D models. It was found that the device returns feasible 3D models that appear usable for forensic 3D reconstructions.

Identifiants

pubmed: 38522324
pii: S0379-0738(24)00086-0
doi: 10.1016/j.forsciint.2024.112005
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

112005

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The Austrian Center for Medical Innovation and Technology (ACMIT GmbH), developed the 3DLamp system in collaboration with the Institute of Forensic Medicine, University of Zurich. In case of commercialisation both, the University of Zürich and ACMIT GmbH might declare commercial interest in the product and its sales.

Auteurs

Till Sieberth (T)

3D Centre Zurich, Institute of Forensic Medicine, University of Zurich, Winterthurerstrasse 190/52, Zurich 8057, Switzerland; Institute for Applied Photogrammetry and Geoinformatics, Jade University of Applied Science, Ofener Straße 16/19, Oldenburg D-26121, Germany. Electronic address: till.sieberth@jade-hs.de.

Michael Meindl (M)

ACMIT GmbH, Austrian Center for Medical Innovation and Technology GmbH, Viktor-Kaplan-Straße 2, Wiener Neustadt 2700, Austria.

Bernhard Sagmeister (B)

ACMIT GmbH, Austrian Center for Medical Innovation and Technology GmbH, Viktor-Kaplan-Straße 2, Wiener Neustadt 2700, Austria.

Sabine Franckenberg (S)

Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich 8091, Switzerland.

Wolfgang Ptacek (W)

ACMIT GmbH, Austrian Center for Medical Innovation and Technology GmbH, Viktor-Kaplan-Straße 2, Wiener Neustadt 2700, Austria.

Classifications MeSH