Objective grading facial paralysis severity using a dynamic 3D stereo photogrammetry imaging system

Alagha, M. A., Ayoub, A. , Morley, S. and Ju, X. (2022) Objective grading facial paralysis severity using a dynamic 3D stereo photogrammetry imaging system. Optics and Lasers in Engineering, 150, 106876. (doi: 10.1016/j.optlaseng.2021.106876)

Abstract

Facial paralysis is a loss of facial movement due to nerve damage. It is essential for clinicians to diagnose the severity of the facial paralysis to treat patients, assess progresses and evaluate outcomes. Subjective assessments are common in clinical practices but have their limitations regarding the intra-observer and inter-observer reproducibility. We utilised the dynamic 3D stereo photogrammetry technology for the objective grading of facial paralysis by measuring regional facial asymmetries. The correlations between the measured asymmetries and scores of a modified Sunnybrook facial paralysis grading were evaluated to identify the region of interests of objective measurements closely related to the subjective grades. Categorical classifiers were trained to quantify the severity of the facial paralysis. Preliminary results showed that the objective asymmetry measurements were highly correlated to the subjective assessments of facial paralysis except the eye region. Machine learning approaches showed a potential of improving the accuracy of severity assessments.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Ju, Dr Xiangyang and Ayoub, Professor Ashraf and Alagha, Mahmoud Amir and Morley, Mr Stephen

Creator Roles

Alagha, M. A.: Data curation, Formal analysis, Writing – original draft, Writing – review and editing
Ayoub, A.: Conceptualization, Project administration, Formal analysis, Writing – original draft, Writing – review and editing
Morley, S.: Project administration, Formal analysis, Writing – original draft
Ju, X.: Conceptualization, Funding acquisition, Formal analysis, Writing – original draft, Writing – review and editing

• Authors: Alagha, M. A., Ayoub, A., Morley, S., and Ju, X.
• College/School: College of Medical Veterinary and Life Sciences > School of Medicine, Dentistry & Nursing; College of Medical Veterinary and Life Sciences > School of Medicine, Dentistry & Nursing > Dental School
• Journal Name: Optics and Lasers in Engineering
• Publisher: Elsevier
• ISSN: 0143-8166
• ISSN (Online): 1873-0302
• Published Online: 17 November 2021
• Copyright Holders: Copyright © 2021 Elsevier Ltd.
• First Published: First published in Optics and Lasers in Engineering 150: 106876
• Publisher Policy: Reproduced in accordance with the publisher copyright policy