Literature DB >> 10641919

In vivo facial tissue depth measurements for children and adults.

M H Manhein1, G A Listi, R E Barsley, R Musselman, N E Barrow, D H Ubelaker.   

Abstract

This study reports results of a facial tissue depth measurements project conducted over a two-year period on a modern sample of children and adults of both sexes and varying ages and races. The purpose of this research was to increase available tissue depth data for children and update facial tissue depth measurements for American adults. Most volunteers for this project were patients or visitors to the pediatric clinic at the Louisiana State University Medical Center, School of Dentistry, in New Orleans. Using state of-the-art ultrasound technology, we scanned 551 children and 256 adults at 19 points across the face. Thirteen of the scanned points were traditional landmarks while six others were areas not measured by previous researchers or were points for which very little data exist for both children and adults. For this presentation, we analyzed data for 515 children and 197 adults. Results of Pearson's correlations, analysis of variance, and paired t-tests indicate that age, sex, and race are significant factors when considering tissue depth means for different measurement locations across the human face. These new standards are compared to the work of other researchers. Our results provide valuable assistance in both two-dimensional and three-dimensional facial reproductions and superimpositions.

Entities:  

Mesh:

Year:  2000        PMID: 10641919

Source DB:  PubMed          Journal:  J Forensic Sci        ISSN: 0022-1198            Impact factor:   1.832


  10 in total

Review 1.  Facial reconstruction--anatomical art or artistic anatomy?

Authors:  Caroline Wilkinson
Journal:  J Anat       Date:  2010-02       Impact factor: 2.610

2.  A standardized nomenclature for craniofacial and facial anthropometry.

Authors:  Jodi Caple; Carl N Stephan
Journal:  Int J Legal Med       Date:  2015-12-11       Impact factor: 2.686

3.  Accuracies of facial soft tissue depth means for estimating ground truth skin surfaces in forensic craniofacial identification.

Authors:  Carl N Stephan
Journal:  Int J Legal Med       Date:  2014-11-14       Impact factor: 2.686

4.  Lip morphology estimation models based on three-dimensional images in a modern adult population from China.

Authors:  Jia-Min Zhao; Ling-Ling Ji; Meng-Qi Han; Qing-Nan Mou; Guang Chu; Teng Chen; Shao-Yi Du; Yu-Xia Hou; Yu-Cheng Guo
Journal:  Int J Legal Med       Date:  2021-03-24       Impact factor: 2.686

5.  In vivo facial soft tissue depths of a modern adult population from Germany.

Authors:  Nicolle Thiemann; Volker Keil; Uwe Roy
Journal:  Int J Legal Med       Date:  2017-04-17       Impact factor: 2.686

6.  A blind accuracy assessment of computer-modeled forensic facial reconstruction using computed tomography data from live subjects.

Authors:  Caroline Wilkinson; Chris Rynn; Heather Peters; Myke Taister; Chung How Kau; Stephen Richmond
Journal:  Forensic Sci Med Pathol       Date:  2006-09       Impact factor: 2.456

7.  Facial Soft Tissue Thickness of Midline in an Iranian Sample: MRI Study.

Authors:  Masume Johari; Farzad Esmaeili; Hadi Hamidi
Journal:  Open Dent J       Date:  2017-06-30

Review 8.  An overview of the latest developments in facial imaging.

Authors:  Carl N Stephan; Jodi M Caple; Pierre Guyomarc'h; Peter Claes
Journal:  Forensic Sci Res       Date:  2018-10-29

9.  Modelling 3D craniofacial growth trajectories for population comparison and classification illustrated using sex-differences.

Authors:  Harold S Matthews; Anthony J Penington; Rita Hardiman; Yi Fan; John G Clement; Nicola M Kilpatrick; Peter D Claes
Journal:  Sci Rep       Date:  2018-03-19       Impact factor: 4.379

10.  The infant mummy's face-Paleoradiological investigation and comparison between facial reconstruction and mummy portrait of a Roman-period Egyptian child.

Authors:  Andreas G Nerlich; Lukas Fischer; Stephanie Panzer; Roxane Bicker; Thomas Helmberger; Sylvia Schoske
Journal:  PLoS One       Date:  2020-09-16       Impact factor: 3.240

  10 in total

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