Automatic quantification of vocal cord paralysis - an application of fibre-optic endoscopy video processing
Menon, Radhika and Petropoulakis, Lykourgos and Soraghan, John J. and Lakany, Heba and MacKenzie, Kenneth and Hilmi, Omar and Di Caterina, Gaetano; (2017) Automatic quantification of vocal cord paralysis - an application of fibre-optic endoscopy video processing. In: Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies. SCITEPRESS, PRT, pp. 108-113.
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Abstract
Full movement of the vocal cords is necessary for life sustaining functions. To enable correct diagnosis of reduced vocal cord motion and thereby potentially enhance treatment outcomes, it is proposed to objectively determine the degree of vocal cord paralysis in contrast to the current clinical practice of subjective evaluation. Our study shows that quantitative assessment can be achieved using optical flow based motion estimation of the opening and closing movements of the vocal cords. The novelty of the proposed method lies in the automatic processing of fibre-optic endoscopy videos to derive an objective measure for the degree of paralysis, without the need for high-end data acquisition systems such as high speed cameras or stroboscopy. Initial studies with three video samples yield promising results and encourage further investigation of vocal cord paralysis using this technique.
ORCID iDs
Menon, Radhika ORCID: https://orcid.org/0000-0001-9640-2052, Petropoulakis, Lykourgos ORCID: https://orcid.org/0000-0003-3230-9670, Soraghan, John J. ORCID: https://orcid.org/0000-0003-4418-7391, Lakany, Heba ORCID: https://orcid.org/0000-0003-3079-0392, MacKenzie, Kenneth, Hilmi, Omar and Di Caterina, Gaetano ORCID: https://orcid.org/0000-0002-7256-0897;-
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Item type: Book Section ID code: 59345 Dates: DateEvent23 February 2017Published21 December 2016AcceptedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering
Technology > Engineering (General). Civil engineering (General) > Bioengineering
Medicine > OtorhinolaryngologyDepartment: Faculty of Engineering > Electronic and Electrical Engineering
Faculty of Engineering > Biomedical Engineering
Faculty of Humanities and Social Sciences (HaSS) > Psychological Sciences and Health > Speech and Language TherapyDepositing user: Pure Administrator Date deposited: 10 Jan 2017 11:24 Last modified: 11 Nov 2024 15:08 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/59345