He, Shu and Soraghan, J.J. and O'Reilly, Brian (2007) Biomedical image sequence analysis with application to automatic quantitative assessment of facial paralysis. EURASIP Journal on Image and Video Processing. ISSN 1687-5176
Full text not available in this repository. (Request a copy from the Strathclyde author)Abstract
Facial paralysis is a condition causing decreased movement on one side of the face. A quantitative, objective, and reliable assessment system would be an invaluable tool for clinicians treating patients with this condition. This paper presents an approach based on the automatic analysis of patient video data. Facial feature localization and facial movement detection methods are discussed. An algorithm is presented to process the optical flow data to obtain the motion features in the relevant facial regions. Three classification methods are applied to provide quantitative evaluations of regional facial nerve function and the overall facial nerve function based on the House-Brackmann scale. Experiments show the radial basis function (RBF) neural network to have superior performance.
| Item type: | Article |
|---|---|
| ID code: | 12500 |
| Keywords: | facial paralysis , movement, assessment system , video data, Electrical engineering. Electronics Nuclear engineering |
| Subjects: | Technology > Electrical engineering. Electronics Nuclear engineering |
| Department: | Faculty of Engineering > Electronic and Electrical Engineering |
| Related URLs: | |
| Depositing user: | Strathprints Administrator |
| Date Deposited: | 05 Aug 2011 16:53 |
| Last modified: | 04 Oct 2012 12:41 |
| URI: | http://strathprints.strath.ac.uk/id/eprint/12500 |
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