Real-time dual visualization of two different modalities for the evaluation of vocal fold vibration – Laryngeal videoendoscopy and 2D scanning videokymography: Preliminary report

Kim, Geun‐Hyo; Wang, Soo-Geun; Lee, Byung‐Joo; Park, Heejune; Kim, Yong-Cheol; Kim, Hyung-Soon; Sohn, Keon-Tae; Kwon, Soonbok

doi:10.1016/j.anl.2016.06.008

Cited by 11 publications

(7 citation statements)

References 11 publications

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“…Because of the easy way in which ImageJ can be extended, using macros and plugging, a lot of functionalities are available today, especially in the fields of microscopy and biology. ImageJ can be used to acquire images directly from scanners, cameras and other video sources [18,19]. User written plugging make it possible to solve many image processing and analysis problems, from three dimensional livecell imaging [20], to radiological image processing [21], multiple imaging system data comparisons [22] to automated hematology systems [23].…”

Section: Analysis Methodsmentioning

confidence: 99%

A New Procedure for Porous Material Characterization

Chilev¹

2017

IJSTS

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Abstract:A new procedure for quantitative characterization of different types of solid materials is proposed. The technique is based on the Scanning Electron Microscopy (SEM) analysis results of porous materials and their processing by the software ImageJ. Several types of porous adsorbents AX21, AC35, GAC250, ACENO and IRH3 activated carbons were investigated. Based on SEM analysis, different characteristics of the samples such as porosity, pore size distribution, bed particles porosity can be obtained. In this study, the particle size, the average macropore size and pore size distributions (PSD) of samples were determined with a new procedure for SEM analysis treatment using ImageJ software. Three distribution functions (Gamma, Weibull and Lognormal) were selected to describe the experimental results. The Lognormal distribution fitted more accurately the experimental data.

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Section: Analysis Methodsmentioning

confidence: 99%

A New Procedure for Porous Material Characterization

Chilev¹

2017

IJSTS

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“…The glottal segmentation and FP have been used to diagnose functional voice disorders [44,47,[164][165][166]. For instance, the authors in [46] presented a computer-aided method for automatically and objectively classifying individuals with normal and abnormal vocal folds vibration patterns.…”

Section: Voice Research and Clinical Applicationsmentioning

confidence: 99%

Laryngeal Image Processing of Vocal Folds Motion

et al. 2020

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This review provides a comprehensive compilation, from a digital image processing point of view of the most important techniques currently developed to characterize and quantify the vibration behaviour of the vocal folds, along with a detailed description of the laryngeal image modalities currently used in the clinic. The review presents an overview of the most significant glottal-gap segmentation and facilitative playbacks techniques used in the literature for the mentioned purpose, and shows the drawbacks and challenges that still remain unsolved to develop robust vocal folds vibration function analysis tools based on digital image processing.

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“…However, since the camera of laryngeal videoendoscopy is not suitable to observe the vocal fold vibrating very rapidly with the naked eye, various methods have been studied to more accurately evaluate the vocal fold dynamics and morphological evaluation such as laryngeal videostroboscopy (LVS) [3], high speed videoendoscopy (HSV) [4] and digital kymography (DKG) [5], line scanning videokymography (VKG) [6], and 2D scanning videokymography such as (2D VKG) [7] such as functional evaluation has been developed.…”

Section: Introductionmentioning

confidence: 99%

“…However, since the vocal fold vibration image of LVS is an illusion image and requires synchronization with the trigger, it is difficult to identify the mucous membrane waves of the vocal fold in aperiodic voices whose periodicity is severely collapsed [8]. HSV is recognized as a useful tool because it can directly observe the actual vocal cord vibration, but it has the disadvantage in that it takes a lot of time to save and play data [9]. Due to these limitations, DKG was developed, but there is a limitation in that only a specific line is extracted from the entire laryngeal image, and because it is obtained by post-processing HSV images, is time consuming [10].…”

Section: Introductionmentioning

confidence: 99%

Automated quantitative analysis of vocal fold vibration using two-dimensional scanning videokymography after transoral laser microsurgery

Bae¹,

Park²

2021

Clin Arch Commun Disord

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The purpose of this study was to develop a quantitative automated analysis system for two-dimensional videokymography (2D VKG) using the threshold segmentation method, and to analyze the vocal fold vibration characteristics of vocally healthy subjects and patients who underwent CO2 transoral laser microsurgery using this system, and to examine in accuracy differences between automatic and automated analysis methods.Methods: 29 male patients who underwent CO2 transoral laser microsurgery and 10 vocally healthy male participated in the study. Quantitative analysis such as opening quotient (OQ), phase symmetry index (PSI), amplitude symmetry index (ASI) of 2D VKG images was performed using an automated analysis program in which glottal area extraction by the threshold segmentation method and edge detection using a manual plotting technique were mixed.Results: Automatic analysis enabled accurate quantitative analysis in 76.9% (30/39) of the total image. The automated analysis corrected by the manual plotting technique on the sample showing gross error showed higher accuracy than the automatic analysis. The results of automated and automatic analysis were not statistically different in ASI, but there were differences in OQ and PSI. In addition, vocally healthy group and patients group showed statistical significance in all parameters (OQ, ASI, PSI). Conclusions:The 2D VKG, which can evaluate the vibration of the entire vocal fold tissue in real time, can be usefully utilized as a laryngeal imaging technique that visualizes the structure and function of the vocal fold. Quantitative analysis using automated and automatic analysis can increase the clinical usability of 2D VKG.

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Real-time dual visualization of two different modalities for the evaluation of vocal fold vibration – Laryngeal videoendoscopy and 2D scanning videokymography: Preliminary report

Cited by 11 publications

References 11 publications

A New Procedure for Porous Material Characterization

A New Procedure for Porous Material Characterization

Laryngeal Image Processing of Vocal Folds Motion

Automated quantitative analysis of vocal fold vibration using two-dimensional scanning videokymography after transoral laser microsurgery

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