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Your search keyword '"Sharma, Giriraj"' showing total 2 results
Start Over Author "Sharma, Giriraj" Journal journal of biomedical optics
2 results on '"Sharma, Giriraj"'

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

Author

Sharma, Giriraj K, Chen, Lily Y, Chou, Lidek, Badger, Christopher, Hong, Ellen, Rangarajan, Swathi, Chang, Theodore H, Armstrong, William B, Verma, Sunil P, Chen, Zhongping, Ramalingam, Ram, and Wong, Brian J-F

Subjects
image processing, in vivo imaging, larynx, mucosal wave, optical coherence tomography, tissues, Optics, Optical Physics, Biomedical Engineering, Opthalmology and Optometry
Abstract

SignificanceThe 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.AimOptical 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.ApproachA 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.ResultsNovel 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.ConclusionsLong-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.

Published
2021

2. Dynamic programming and automated segmentation of optical coherence tomography images of the neonatal subglottis: enabling efficient diagnostics to manage subglottic stenosis

Author

Kozlowski, Konrad M, Sharma, Giriraj K, Chen, Jason J, Qi, Li, Osann, Kathryn, Jing, Joseph C, Ahuja, Gurpreet S, Heidari, Andrew E, Chung, Phil-Sang, Kim, Sehwan, Chen, Zhongping, and Wong, Brian J-F

Subjects
Paediatrics, Biomedical and Clinical Sciences, Pediatric, Preterm, Low Birth Weight and Health of the Newborn, Bioengineering, Perinatal Period - Conditions Originating in Perinatal Period, Infant Mortality, Biomedical Imaging, Clinical Research, Detection, screening and diagnosis, 4.2 Evaluation of markers and technologies, 4.1 Discovery and preclinical testing of markers and technologies, Algorithms, Humans, Image Interpretation, Computer-Assisted, Infant, Newborn, Laryngostenosis, Larynx, Tomography, Optical Coherence, diagnostic imaging, intubation injury, neonate, optical coherence tomography, subglottic stenosis, texture analysis, Optical Physics, Biomedical Engineering, Opthalmology and Optometry, Optics, Ophthalmology and optometry, Biomedical engineering, Atomic, molecular and optical physics
Abstract

Subglottic stenosis (SGS) is a challenging disease to diagnose in neonates. Long-range optical coherence tomography (OCT) is an optical imaging modality that has been described to image the subglottis in intubated neonates. A major challenge associated with OCT imaging is the lack of an automated method for image analysis and micrometry of large volumes of data that are acquired with each airway scan (1 to 2 Gb). We developed a tissue segmentation algorithm that identifies, measures, and conducts image analysis on tissue layers within the mucosa and submucosa and compared these automated tissue measurements with manual tracings. We noted small but statistically significant differences in thickness measurements of the mucosa and submucosa layers in the larynx (p

Published
2019

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