Automatic Quantification of Vocal Cord Paralysis - An Application of Fibre-optic Endoscopy Video Processing

Radhika Menon, Lykourgos Petropoulakis, John J. Soraghan, Heba Lakany, Kenneth MacKenzie, Omar Hilmi, Gaetano Di Caterina

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 Harvard Style

Menon R., Petropoulakis L., Soraghan J., Lakany H., MacKenzie K., Hilmi O. and Di Caterina G. (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 - Volume 2: BIOIMAGING, (BIOSTEC 2017) ISBN 978-989-758-215-8, pages 108-113. DOI: 10.5220/0006231001080113


in Bibtex Style

@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 - An Application of Fibre-optic Endoscopy Video Processing},
booktitle={Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOIMAGING, (BIOSTEC 2017)},
year={2017},
pages={108-113},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006231001080113},
isbn={978-989-758-215-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOIMAGING, (BIOSTEC 2017)
TI - Automatic Quantification of Vocal Cord Paralysis - An Application of Fibre-optic Endoscopy Video Processing
SN - 978-989-758-215-8
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