Automatic Facial Paralysis Assessment via Computational Image Analysis
Joint Authors
Wu, Jianhuang
Jiang, Chaoqun
Zhong, Weizheng
Wei, Mingqiang
Tong, Jing
Yu, Haibo
Wang, Ling
Source
Journal of Healthcare Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-02-08
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Facial paralysis (FP) is a loss of facial movement due to nerve damage.
Most existing diagnosis systems of FP are subjective, e.g., the House–Brackmann (HB) grading system, which highly depends on the skilled clinicians and lacks an automatic quantitative assessment.
In this paper, we propose an efficient yet objective facial paralysis assessment approach via automatic computational image analysis.
First, the facial blood flow of FP patients is measured by the technique of laser speckle contrast imaging to generate both RGB color images and blood flow images.
Second, with an improved segmentation approach, the patient’s face is divided into concerned regions to extract facial blood flow distribution characteristics.
Finally, three HB score classifiers are employed to quantify the severity of FP patients.
The proposed method has been validated on 80 FP patients, and quantitative results demonstrate that our method, achieving an accuracy of 97.14%, outperforms the state-of-the-art systems.
Experimental evaluations also show that the proposed approach could yield objective and quantitative FP diagnosis results, which agree with those obtained by an experienced clinician.
American Psychological Association (APA)
Jiang, Chaoqun& Wu, Jianhuang& Zhong, Weizheng& Wei, Mingqiang& Tong, Jing& Yu, Haibo…[et al.]. 2020. Automatic Facial Paralysis Assessment via Computational Image Analysis. Journal of Healthcare Engineering،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1186224
Modern Language Association (MLA)
Jiang, Chaoqun…[et al.]. Automatic Facial Paralysis Assessment via Computational Image Analysis. Journal of Healthcare Engineering No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1186224
American Medical Association (AMA)
Jiang, Chaoqun& Wu, Jianhuang& Zhong, Weizheng& Wei, Mingqiang& Tong, Jing& Yu, Haibo…[et al.]. Automatic Facial Paralysis Assessment via Computational Image Analysis. Journal of Healthcare Engineering. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1186224
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1186224