Literature DB >> 24529418

Validation of a computer modelled forensic facial reconstruction technique using CT data from live subjects: a pilot study.

Laura J Short1, Balvinder Khambay2, Ashraf Ayoub3, Caroline Erolin4, Chris Rynn4, Caroline Wilkinson4.   

Abstract

INTRODUCTION: Human forensic facial soft tissue reconstructions are used when post-mortem deterioration makes identification difficult by usual means. The aim is to trigger recognition of the in vivo countenance of the individual by a friend or family member. A further use is in the field of archaeology. There are a number of different methods that can be applied to complete the facial reconstruction, ranging from two dimensional drawings, three dimensional clay models and now, with the advances of three dimensional technology, three dimensional computerised modelling. Studies carried out to assess the accuracy of facial reconstructions have produced variable results over the years. Advances in three dimensional imaging techniques in the field of oral and maxillofacial surgery, particularly cone beam computed tomography (CBCT), now provides an opportunity to utilise the data of live subjects and assess the accuracy of the three dimensional computerised facial reconstruction technique. AIM: The aim of this study was to assess the accuracy of a computer modelled facial reconstruction technique using CBCT data from live subjects.
MATERIALS AND METHODS: This retrospective pilot study was carried out at the Glasgow Dental Hospital Orthodontic Department and the Centre of Anatomy and Human Identification, Dundee University School of Life Sciences. Ten patients (5 male and 5 female; mean age 23 years) with mild skeletal discrepancies with pre-surgical cone beam CT data (CBCT) were included in this study. The actual and forensic reconstruction soft tissues were analysed using 3D software to look at differences between landmarks, linear and angular measurements and surface meshes. RESULTS AND
CONCLUSION: There were no statistical differences for 18 out of the 23 linear and 7 out of 8 angular measurements between the reconstruction and the target (p<0.05). The use of Procrustes superimposition has highlighted potential problems with soft tissue depth and anatomical landmarks' position. Surface mesh analysis showed that this virtual sculpture technique can be objectively assessed using the distance between the meshes. This study found that the percentage of faces with less than ±2.5mm error ranged from 56% to 90%. This may be improved if Procrustes superimposition could be applied to all the mesh points rather than specific landmarks.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  3D computerised modelling method; Accuracy; Cone-beam CT; Forensic facial reconstruction; Forensic science; Live subjects

Mesh:

Year:  2014        PMID: 24529418     DOI: 10.1016/j.forsciint.2013.12.042

Source DB:  PubMed          Journal:  Forensic Sci Int        ISSN: 0379-0738            Impact factor:   2.395


  5 in total

Review 1.  Forensic Facial Reconstruction: The Final Frontier.

Authors:  Sonia Gupta; Vineeta Gupta; Hitesh Vij; Ruchieka Vij; Nutan Tyagi
Journal:  J Clin Diagn Res       Date:  2015-09-01

Review 2.  Imaging for homicide investigations.

Authors:  Krzysztof Woźniak; Artur Moskała; Ewa Rzepecka-Woźniak
Journal:  Radiol Med       Date:  2015-03-17       Impact factor: 3.469

Review 3.  Quantification of Facial Traits.

Authors:  Stefan Böhringer; Markus A de Jong
Journal:  Front Genet       Date:  2019-05-24       Impact factor: 4.599

4.  Ethnic-Guided Soft Tissue Cephalometric Analysis on Lambani Indian Inhabitants for Forensic Facial Reconstruction.

Authors:  K Nitya; G S Madhushankari; Keerthi V Narayan; Praveen S Basandi; R Ramya; D Vasumathi
Journal:  Cureus       Date:  2022-03-23

5.  Assessment of accuracy and recognition of three-dimensional computerized forensic craniofacial reconstruction.

Authors:  Geraldo Elias Miranda; Caroline Wilkinson; Mark Roughley; Thiago Leite Beaini; Rodolfo Francisco Haltenhoff Melani
Journal:  PLoS One       Date:  2018-05-02       Impact factor: 3.240

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.