Dataset Information

Surface kinematic and depth-resolved analysis of human vocal folds in vivo during phonation using optical coherence tomography.

ABSTRACT: The human vocal fold (VF) oscillates in multiple vectors and consists of distinct layers with varying viscoelastic properties that contribute to the mucosal wave. Office-based and operative laryngeal endoscopy are limited to diagnostic evaluation of the VF epithelial surface only and are restricted to axial-plane characterization of the horizontal mucosal wave. As such, understanding of the biomechanics of human VF motion remains limited. Optical coherence tomography (OCT) is a micrometer-resolution, high-speed endoscopic imaging modality which acquires cross-sectional images of tissue. Our study aimed to leverage OCT technology and develop quantitative methods for analyzing the anatomy and kinematics of in vivo VF motion in the coronal plane. A custom handheld laryngeal stage was used to capture OCT images with 800 A-lines at 250 Hz. Automated image postprocessing and analytical methods were developed. Novel kinematic analysis of in vivo, long-range OCT imaging of the vibrating VF in awake human subjects is reported. Cross-sectional, coronal-plane panoramic videos of the larynx during phonation are presented with three-dimensional videokymographic and space-time velocity analysis of VF motion. Long-range OCT with automated computational methods allows for cross-sectional dynamic laryngeal imaging and has the potential to broaden our understanding of human VF biomechanics and sound production.

SUBMITTER: Sharma GK

PROVIDER: S-EPMC8374544 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature

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Surface kinematic and depth-resolved analysis of human vocal folds in vivo during phonation using optical coherence tomography.

Sharma Giriraj K GK Chen Lily Y LY Chou Lidek L Badger Christopher C Hong Ellen E Rangarajan Swathi S Chang Theodore H TH Armstrong William B WB Verma Sunil P SP Chen Zhongping Z Ramalingam Ram R Wong Brian J-F BJ

Journal of biomedical optics 20210801 8

<h4>Significance</h4>The human vocal fold (VF) oscillates in multiple vectors and consists of distinct layers with varying viscoelastic properties that contribute to the mucosal wave. Office-based and operative laryngeal endoscopy are limited to diagnostic evaluation of the VF epithelial surface only and are restricted to axial-plane characterization of the horizontal mucosal wave. As such, understanding of the biomechanics of human VF motion remains limited.<h4>Aim</h4>Optical coherence tomogra ...[more]

PMID: 34414705

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Project description:PurposeTo detect macular perfusion defects in glaucoma using projection-resolved optical coherence tomography (OCT) angiography.DesignProspective observation study.ParticipantsA total of 30 perimetric glaucoma and 30 age-matched normal participants were included.MethodsOne eye of each participant was imaged using 6×6-mm macular OCT angiography (OCTA) scan pattern by 70-kHz 840-nm spectral-domain OCT. Flow signal was calculated by the split-spectrum amplitude-decorrelation angiography algorithm. A projection-resolved OCTA (PR-OCTA) algorithm was used to remove flow projection artifacts. Four en face OCTA slabs were analyzed: the superficial vascular complex (SVC), intermediate capillary plexus (ICP), deep capillary plexus (DCP), and all-plexus retina (SVC + ICP + DCP). The vessel density (VD), defined as the percentage area occupied by flow pixels, was calculated from en face OCTA. A novel algorithm was used to adjust the vessel density to compensate for local variations in OCT signal strength.Main outcome measuresMacular retinal VD, ganglion cell complex (GCC) thickness, and visual field (VF) sensitivity.ResultsFocal capillary dropout could be visualized in the SVC, but not the ICP and DVP, in glaucomatous eyes. In the glaucoma group, the SVC and all-plexus retinal VD (mean ± standard deviation: 47.2%±7.1% and 73.5%±6.6%) were lower than in the normal group (60.5%±4.0% and 83.2%±4.2%, both P < 0.001, t test). The ICP and DCP VD were not significantly lower in the glaucoma group. Among the overall macular VD parameters, the SVC VD had the best diagnostic accuracy as measured by the area under the receiver operating characteristic curve (AROC). The accuracy was even better when the worse hemisphere (inferior or superior) was used, achieving an AROC of 0.983 and a sensitivity of 96.7% at a specificity of 95%. Among the glaucoma participants, the hemispheric SVC VD values were highly correlated with the corresponding GCC thickness and VF sensitivity (P < 0.003). The reflectance compensation step in VD calculation significantly improved repeatability, normal population variation, and correlation with VF and GCC thickness.ConclusionsOn the basis of PR-OCTA, glaucoma preferentially affects perfusion in the SVC in the macula more than the deeper plexuses. Reflectance-compensated SVC VD measurement by PR-OCTA detected glaucoma with high accuracy and could be useful in the clinical evaluation of glaucoma.

Dataset Information

Surface kinematic and depth-resolved analysis of human vocal folds in vivo during phonation using optical coherence tomography.

Publications

Surface kinematic and depth-resolved analysis of human vocal folds in vivo during phonation using optical coherence tomography.

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