Analysis of Laryngeal High-Speed Videoendoscopy recordings – ROI detection

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F22%3A43965681" target="_blank" >RIV/49777513:23520/22:43965681 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1016/j.bspc.2022.103854" target="_blank" >https://doi.org/10.1016/j.bspc.2022.103854</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.bspc.2022.103854" target="_blank" >10.1016/j.bspc.2022.103854</a>

Result language

angličtina

Original language name

Analysis of Laryngeal High-Speed Videoendoscopy recordings – ROI detection

Original language description

Accurate detection of the glottis in video sequences obtained during the vocal cords examination using Laryngeal High-Speed Videoendoscopy (LHSV) is a prerequisite for the calculation of parameters describing vocal cord kinematics. This work presents the knowledge and methods related to the determination of the region of interest (ROI), which is one of the important steps in the processing of LHSV video sequences with the aim of automatic glottis detection. ROI is defined as the area between the vocal folds and anterior and posterior commissures. A number of methods have been published on this topic, which are used mainly in experimental LHSV video processing systems. To determine the ROI, we decided to use a method based on frequency analysis of oscillations of the vocal cord anatomical structures, which, as we know, has not been used in this context yet. The oscillation is represented by the change of brightness of the corresponding pixels in the LHSV images. The ROI is then successfully detected even in the relatively heterogeneous structure of tissues and fluids and for videos of various qualities, including luminance reflections, where the movement of the vocal cords can be detected. These methods extend the currently used system using a thresholding method for ROI detection and improve the success rate from 69% to 89%. These methods were tested on the LHSV video corpus, which contains 412 video sequences with different recording quality, diagnoses, and age groups of patients, obtained from ENT clinical practice.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Biomedical Signal Processing and Control

ISSN

1746-8094

e-ISSN

—

Volume of the periodical

78

Issue of the periodical within the volume

September 2022

Country of publishing house

GB - UNITED KINGDOM

Number of pages

13

Pages from-to

1-13

UT code for WoS article

000814222100004

EID of the result in the Scopus database

2-s2.0-85132396637