Literature DB >> 33945132

Using Computed Tomography (CT) Data to Build 3D Resources for Forensic Craniofacial Identification.

Terrie Simmons-Ehrhardt1, Catyana R S Falsetti2, Anthony B Falsetti3.   

Abstract

Forensic craniofacial identification encompasses the practices of forensic facial approximation (aka facial reconstruction) and craniofacial superimposition within the field of forensic art in the United States. Training in forensic facial approximation methods historically has used plaster copies, high-cost commercially molded skulls, and photographs. Despite the increased accessibility of computed tomography (CT) and the numerous studies utilizing CT data to better inform facial approximation methods, 3D CT data have not yet been widely used to produce interactive resources or reference catalogs aimed at forensic art practitioner use or method standardization. There are many free, open-source 3D software packages that allow engagement in immersive studies of the relationships between the craniofacial skeleton and facial features and facilitate collaboration between researchers and practitioners. 3D CT software, in particular, allows the bone and soft tissue to be visualized simultaneously with tools such as transparency, clipping, and volume rendering of underlying tissues, allowing for more accurate analyses of bone to soft tissue relationships. Analyses and visualization of 3D CT data can not only facilitate basic research into facial variation and anatomical relationships relevant for reconstructions but can also lead to improved facial reconstruction guidelines. Further, skull and face surface models exported in digital 3D formats allow for 3D printing of custom reference models and novel training materials and modalities for practitioners. This chapter outlines the 3D resources that can be built from CT data for forensic craniofacial identification methods, including how to view 3D craniofacial CT data and modify surface models for 3D printing.

Keywords:  3D modeling; 3D printing; Computed tomography; Craniofacial identification; Craniofacial superimposition; Facial approximation

Year:  2021        PMID: 33945132     DOI: 10.1007/978-3-030-61125-5_4

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  35 in total

1.  Accuracy and reliability of facial soft tissue depth measurements using cone beam computer tomography.

Authors:  Zacharias Fourie; Janalt Damstra; Peter O Gerrits; Yijin Ren
Journal:  Forensic Sci Int       Date:  2010-03-16       Impact factor: 2.395

2.  A novel skull registration based on global and local deformations for craniofacial reconstruction.

Authors:  Qingqiong Deng; Mingquan Zhou; Wuyang Shui; Zhongke Wu; Yuan Ji; Ruyi Bai
Journal:  Forensic Sci Int       Date:  2010-12-23       Impact factor: 2.395

3.  Effect of Head Position on Facial Soft Tissue Depth Measurements Obtained Using Computed Tomography.

Authors:  Jodi M Caple; Carl N Stephan; Laura S Gregory; Donna M MacGregor
Journal:  J Forensic Sci       Date:  2015-08-18       Impact factor: 1.832

4.  Craniofacial reconstruction using a combined statistical model of face shape and soft tissue depths: methodology and validation.

Authors:  Peter Claes; Dirk Vandermeulen; Sven De Greef; Guy Willems; Paul Suetens
Journal:  Forensic Sci Int       Date:  2006-03-15       Impact factor: 2.395

5.  Facial soft tissue thickness database for craniofacial reconstruction in the Turkish adult population.

Authors:  Ozgur Bulut; Serdar Sipahioglu; Baki Hekimoglu
Journal:  Forensic Sci Int       Date:  2014-06-26       Impact factor: 2.395

6.  Facial soft tissue thickness in Yangtze River delta Han population: Accurate assessment and comparative analysis utilizing Cone-Beam CT.

Authors:  Chuwei Deng; Dongmiao Wang; Ji Chen; Kai Li; Ming Yang; Zhuoyue Chen; Zhengyang Zhu; Caiyong Yin; Peng Chen; Dan Cao; Bin Yan; Feng Chen
Journal:  Leg Med (Tokyo)       Date:  2020-03-16       Impact factor: 1.376

7.  Facial approximations: Characteristics of the eye in a South African sample.

Authors:  Heléne F Dorfling; Zarina Lockhat; Samantha Pretorius; Maryna Steyn; Anna C Oettlé
Journal:  Forensic Sci Int       Date:  2018-03-08       Impact factor: 2.395

Review 8.  Superimposition and reconstruction in forensic facial identification: a survey.

Authors:  W A Aulsebrook; M Y Işcan; J H Slabbert; P Becker
Journal:  Forensic Sci Int       Date:  1995-10-30       Impact factor: 2.395

9.  The Cancer Imaging Archive (TCIA): maintaining and operating a public information repository.

Authors:  Kenneth Clark; Bruce Vendt; Kirk Smith; John Freymann; Justin Kirby; Paul Koppel; Stephen Moore; Stanley Phillips; David Maffitt; Michael Pringle; Lawrence Tarbox; Fred Prior
Journal:  J Digit Imaging       Date:  2013-12       Impact factor: 4.056

10.  A facial reconstruction method based on new mesh deformation techniques.

Authors:  Maya de Buhan; Chiara Nardoni
Journal:  Forensic Sci Res       Date:  2018-06-05
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.