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CT-scan vs . 3D surface scanning of a skull

First considerations regarding reproducibility issues

Bibliographic Data

ID13119773
AuthorsStella Fahrni (0000-0003-1643-6100, University Centre of Legal Medicine, corresponding author), Lorenzo Campana (0000-0001-6052-6600, University Centre of Legal Medicine), Alejandro Dominguez (0000-0002-6852-1326), Tanya Uldin (0000-0001-7958-232X, University Centre of Legal Medicine), Fabrice Dedouit (0000-0003-3300-1272, University Centre of Legal Medicine), Olivier Delémont (0000-0002-4122-7231, University of Lausanne), Silke Grabherr (0000-0002-9914-2310, University Centre of Legal Medicine)
Year2017
Volume2
Issue2
Pages93-99
Publication date2017-04-03
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueForensic Sciences Research (JOURNAL)
Journal identifiersISSN: 2471-1411 • E-ISSN: 2096-1790
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/20961790.2017.1334353
PMID30483625
OpenAlexW2680363168
LanguageEN
Citations received5
References cited37

Three-dimensional surface scanning (3DSS) and multi-detector computed tomography (MDCT) are two techniques that are used in legal medicine for digitalizing objects, a body or body parts such as bones. While these techniques are more and more commonly employed, surprisingly little information is known about the quality rendering of digitalized three-dimensional (3D) models provided by each of them. This paper presents findings related to the measurement precision of 3D models obtained through observation of a study case, where a fractured skull reconstructed by an anthropologist was digitalized using both post-mortem imaging methods. Computed tomography (CT) scans were performed using an 8-row MDCT unit with two different slice thicknesses. The variability of 3D CT models superimposition allowed to assess the reproducibility and robustness of this digitalization technique. Furthermore, two 3D surface scans were done using a professional high resolution 3D digitizer. The comparison of 3D CT-scans with 3D surface scans by superimposition demonstrated several regions with significant differences in topology (average difference between +1.45 and -1.22 mm). When comparing the reproducibility between these two digitalizing techniques, it appeared that MDCT 3D models led in general to greater variability for measurement precision between scanned surfaces. Also, the reproducibility was better achieved with the 3D surface digitizer, showing 3D models with fewer and less pronounced differences (from +0.32 to -0.31 mm). These experiments suggest that MDCT provides less reproducible body models than 3D surface scanning. But further studies must be undertaken in order to corroborate this first impression, and possibly explain the reason for these findings

3d model · 3d printed · Computed tomography · Computer vision · Nuclear medicine · Radiology · Reproducibility · Superimposition · Tomography · Autopsy Techniques and Outcomes · Computer Science · Forensic Anthropology and Bioarchaeology Studies · Mathematics · Medicine · Paleopathology and ancient diseases · Artificial Intelligence · Biomedical Engineering

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    Open Access•T A Syutkina, R M Galeev•Vestnik arheologii, antropologii…•2021

  • Virtual anthropology

    Open Access•C Abegg, Ilaria Balbo et al.•Forensic Sciences Research•2020

  • Digital reconstruction of fragmented tooth remains in forensic context

    Open Access•Abraham Johnson, Gargi Jani et al.•Forensic Sciences Research•2020

  • Hidden lesions

    Open Access•Negahnaz Moghaddam, Lorenzo Campana et al.•Forensic Sciences Research•2023

  • Inside out

    Open Access•Francien G Bossema, P J C Van Laar et al.•Digital Applications in…•2023

  • Computer-assisted paleoanthropology

    Open Access•C P E Zollikofer, Marcia Silvia Ponce De León et al.•Evolutionary Anthropology Issues…•1998

  • Virtual Anthropology

    Open Access•Gerhard W Weber•American Journal of Physical…•2015

Unique citing works5
Citations per year0.83
Citation span2020 - 2023 (4)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 5

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