Analysis of Vocal-fold Vibrations from High-Speed Laryngeal Images Using a Hilbert Transform-Based Methodology

Yao, Yan; Ahmad, Kamsuriah; Kunduk, Melda; Bless, Diane M.

doi:10.1016/j.jvoice.2004.04.006

Cited by 100 publications

(70 citation statements)

References 13 publications

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“…Most of current approaches analyze the time-varying glottal area (21) enclosed by the vocal folds or the lateral deflection given by the distance between both vocal folds along the glottal axis (22). For phase asymmetries concerning left and right vocal fold and the anterior-posterior (AP) dimension, a high diagnostical relevance was shown (23)(24)(25).…”

Section: Introductionmentioning

confidence: 99%

A Noninvasive Procedure for Early-Stage Discrimination of Malignant and Precancerous Vocal Fold Lesions Based on Laryngeal Dynamics Analysis

et al. 2015

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About two thirds of laryngeal cancers originate at the vocal cords. Early-stage detection of malignant vocal fold alterations, including a discrimination of premalignant lesions, represents a major challenge in laryngology as precancerous vocal fold lesions and small carcinomas are difficult to distinguish by means of regular endoscopy only. We report a procedure to discriminate between malignant and precancerous lesions by measuring the characteristics of vocal fold dynamics by means of a computerized analysis of laryngeal high-speed videos. Ten patients with squamous cell T1a carcinoma, ten with precancerous lesions with hyperkeratosis, and ten subjects without laryngeal disease underwent high-speed laryngoscopy yielding 4,000 images per second. By means of wavelet-based phonovibrographic analysis, a set of three clinically meaningful vibratory measures was extracted from the videos comprising a total number of 15,000 video frames. Statistical analysis (ANOVA with post hoc two-sided t tests, P < 0.05) revealed that vocal fold dynamics is significantly affected in the presence of precancerous lesions and T1a carcinoma. On the basis of the three measures, a discriminating pattern was extracted using a support vector machine-learning algorithm performing an individual classification in respect to the different clinical groups. By applying a leave-one-out cross-validation strategy, we could show that the proposed measures discriminate with a very high performance between precancerous lesions and T1a carcinoma (sensitivity, 100%; specificity, 100%). Although a large-scale study will be necessary to confirm clinical significance, the set of vibratory measures derived in this study may be applicable to improve the accuracy and reliability of noninvasive diagnostics of vocal fold lesions. Cancer Res; 75(1); 31-39. Ó2014 AACR.

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Section: Introductionmentioning

confidence: 99%

A Noninvasive Procedure for Early-Stage Discrimination of Malignant and Precancerous Vocal Fold Lesions Based on Laryngeal Dynamics Analysis

et al. 2015

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“…7 Although early investigations with high-speed video imaging demonstrated a clinical benefit in better understanding of vibratory behavior of the vocal folds, 8 more recent studies have utilized multiple techniques for the analysis of vast HSV data using subjective 4 semiquantitative 9,10 and quantitative measures. [11][12][13] Clinical application of HSV has demonstrated new findings with frequency differences not only between left and right vocal folds but on one side between the ventral and dorsal third of the vocal fold.…”

Section: Introductionmentioning

confidence: 99%

Assessment of the variability of vocal fold dynamics within and between recordings with high‐speed imaging and by phonovibrogram

et al. 2010

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“…Some of these features cannot be perceived without special tools, such as kymography. Several new image processing techniques [7,8,[10][11][12][13][14][15] allow for the registration and objective measurement of vocal fold features. However, the questions of selecting the most representative segments for applying these techniques, demonstrating their validity and reliability, and making them intuitive for clinical application, remain open.…”

Section: Methodological Challengesmentioning

confidence: 99%

Clinical Implementation of Laryngeal High-Speed Videoendoscopy: Challenges and Evolution

Deliyski

Petrushev

Bonilha

et al. 2007

Folia Phoniatr Logop

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High-speed videoendoscopy (HSV) captures the true intracycle vibratory behavior of the vocal folds, which allows for overcoming the limitations of videostroboscopy for more accurate objective quantification methods. However, the commercial HSV systems have not gained widespread clinical adoption because of remaining technical and methodological limitations and an associated lack of information regarding the validity, practicality, and clinical relevance of HSV. The purpose of this article is to summarize the practical, technological and methodological challenges we have faced, to delineate the advances we have made, and to share our current vision of the necessary steps towards developing HSV into a robust tool. This tool will provide further insights into the biomechanics of laryngeal sound production, as well as enable more accurate functional assessment of the pathophysiology of voice disorders leading to refinements in the diagnosis and management of vocal fold pathology. The original contributions of this paper are the descriptions of our color high-resolution HSV integration, the methods for facilitative playback and HSV dynamic segmentation, and the ongoing efforts for implementing HSV in phonomicrosurgery, as well as the analysis of the challenges and prospects for the clinical implementation of HSV, additionally supported by references to previously reported data.

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Analysis of Vocal-fold Vibrations from High-Speed Laryngeal Images Using a Hilbert Transform-Based Methodology

Cited by 100 publications

References 13 publications

A Noninvasive Procedure for Early-Stage Discrimination of Malignant and Precancerous Vocal Fold Lesions Based on Laryngeal Dynamics Analysis

A Noninvasive Procedure for Early-Stage Discrimination of Malignant and Precancerous Vocal Fold Lesions Based on Laryngeal Dynamics Analysis

Assessment of the variability of vocal fold dynamics within and between recordings with high‐speed imaging and by phonovibrogram

Clinical Implementation of Laryngeal High-Speed Videoendoscopy: Challenges and Evolution

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