Accuracy of generic mesh conformation: the future of facial morphological analysis

Almukhtar, A. , Khambay, B., Ju, X., McDonald, J. and Ayoub, A. (2017) Accuracy of generic mesh conformation: the future of facial morphological analysis. JPRAS Open, 14, pp. 39-48. (doi: 10.1016/j.jpra.2017.08.003)

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Abstract

Three-dimensional (3D) analysis of the face is required for the assessment of changes following surgery, to monitor the progress of pathological conditions and for the evaluation of facial growth. Sophisticated methods have been applied for the evaluation of facial morphology, the most common being dense surface correspondence. The method depends on the application of a mathematical facial mask known as the generic facial mesh for the evaluation of the characteristics of facial morphology. This study evaluated the accuracy of the conformation of generic mesh to the underlying facial morphology. The study was conducted on 10 non-patient volunteers. Thirty-four 2-mm-diameter self-adhesive, non-reflective markers were placed on each face. These were readily identifiable on the captured 3D facial image, which was captured by Di3D stereophotogrammetry. The markers helped in minimising digitisation errors during the conformation process. For each case, the face was captured six times: at rest and at the maximum movements of four facial expressions. The 3D facial image of each facial expression was analysed. Euclidean distances between the 19 corresponding landmarks on the conformed mesh and on the original 3D facial model provided a measure of the accuracy of the conformation process. For all facial expressions and all corresponding landmarks, these distances were between 0.7 and 1.7 mm. The absolute mean distances ranged from 0.73 to 1.74 mm. The mean absolute error of the conformation process was 1.13 ± 0.26 mm. The conformation of the generic facial mesh is accurate enough for clinical trial proved to be accurate enough for the analysis of the captured 3D facial images.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Ayoub, Professor Ashraf and Almukhtar, Dr Anas and Ju, Dr Xiangyang and McDonald, Professor James and Khambay, Dr Balvinder
Authors: Almukhtar, A., Khambay, B., Ju, X., McDonald, J., and Ayoub, A.
College/School:College of Medical Veterinary and Life Sciences > School of Medicine, Dentistry & Nursing > Dental School
Journal Name:JPRAS Open
Publisher:Elsevier
ISSN:2352-5878
ISSN (Online):2352-5878
Published Online:30 August 2017
Copyright Holders:Copyright © 2017 The Authors
First Published:First published in JPRAS Open 14: 39-48
Publisher Policy:Reproduced under a Creative Commons License

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