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Authors: Radhika Menon 1 ; Lykourgos Petropoulakis 1 ; John J. Soraghan 1 ; Heba Lakany 1 ; Kenneth MacKenzie 2 ; Omar Hilmi 2 and Gaetano Di Caterina 1

Affiliations: 1 University of Strathclyde, United Kingdom ; 2 NHS Greater Glasgow & Clyde, United Kingdom

Keyword(s): Motion Estimation, Automatic Segmentation, Computer-assisted Diagnosis, Fibre-optic Endoscopy, Vocal Cord Motion.

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.

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Paper citation in several formats:
Menon, R.; Petropoulakis, L.; Soraghan, J.; Lakany, H.; MacKenzie, K.; Hilmi, O. and Di Caterina, G. (2017). Automatic Quantification of Vocal Cord Paralysis. In Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017) - BIOIMAGING; ISBN 978-989-758-215-8; ISSN 2184-4305, SciTePress, pages 108-113. DOI: 10.5220/0006231001080113

@conference{bioimaging17,
author={Radhika Menon. and Lykourgos Petropoulakis. and John J. Soraghan. and Heba Lakany. and Kenneth MacKenzie. and Omar Hilmi. and Gaetano {Di Caterina}.},
title={Automatic Quantification of Vocal Cord Paralysis},
booktitle={Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017) - BIOIMAGING},
year={2017},
pages={108-113},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006231001080113},
isbn={978-989-758-215-8},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017) - BIOIMAGING
TI - Automatic Quantification of Vocal Cord Paralysis
SN - 978-989-758-215-8
IS - 2184-4305
AU - Menon, R.
AU - Petropoulakis, L.
AU - Soraghan, J.
AU - Lakany, H.
AU - MacKenzie, K.
AU - Hilmi, O.
AU - Di Caterina, G.
PY - 2017
SP - 108
EP - 113
DO - 10.5220/0006231001080113
PB - SciTePress

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