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Synchronized, concurrent optical coherence tomography and videostroboscopy for monitoring vocal fold morphology and kinematics

Synchronized, concurrent optical coherence tomography and videostroboscopy for monitoring vocal fold morphology and kinematics
GOPI MAGULURI, DARYUSH MEHTA, JAMES KOBLER, JESUNG, PARK, AND NICUSOR IFTIMIA
Biomedical Optics Express Vol. 10, Issue 9, pp. 4450-4461 (2019) • https://doi.org/10.1364/BOE.10.004450

Voice disorders affect a large number of adults in the United States, and their clinical evaluation heavily relies on laryngeal videostroboscopy, which captures the mediallateral and anterior-posterior motion of the vocal folds using stroboscopic sampling.

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However, videostroboscopy does not provide direct visualization of the superior-inferior movement of the vocal folds, which yields important clinical insight. In this paper, we present a novel technology that complements videostroboscopic findings by adding the ability to image the coronal plane and visualize the superior-inferior movement of the vocal folds. The technology is based on optical coherence tomography, which is combined with videostroboscopy within the same endoscopic probe to provide spatially and temporally co-registered images of the mucosal wave motion, as well as vocal folds subsurface morphology. We demonstrate the capability of the rigid endoscopic probe, in a benchtop setting, to characterize the complex movement and subsurface structure of the aerodynamically driven excised larynx models within the 50 to 200 Hz phonation range. Our preliminary results encourage future development of this technology with the goal of its use for in vivo laryngeal imaging.

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© 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement. Users may use, reuse, and build upon the article, or use the article for text or data mining, so long as such uses are for non-commercial purposes and appropriate attribution is maintained. All other rights are reserved.

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Progress in Standoff Surface Contaminant Detector Platform

Julia R. Dupuis, Jay Giblin, John Dixon, Joel Hensley, David Mansur, and William J. Marinelli
SPIE Defense and Commercial Sensing,
Anaheim, CA, April 9-13, 2017

Progress towards the development of a longwave infrared quantum cascade laser (QLC) based standoff surface contaminant detection platform is presented. The detection platform utilizes reflectance spectroscopy with application to optically thick and thin materials including solid and liquid phase chemical warfare agents, toxic industrial chemicals and materials, and explosives.

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The platform employs an ensemble of broadband QCLs with a spectrally selective detector to interrogate target surfaces at 10s of m standoff. A version of the Adaptive Cosine Estimator (ACE) featuring class based screening is used for detection and discrimination in high clutter environments. Detection limits approaching 0.1 ug/cm2 are projected through speckle reduction methods enabling detector noise limited performance.

The design, build, and validation of a breadboard version of the QCL-based surface contaminant detector are discussed. Functional test results specific to the QCL illuminator are presented with specific emphasis on speckle reduction.

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Copyright © 2017 Society of Photo-Optical Instrumentation Engineers. This paper was presented at SPIE Defense and Commercial Sensing, Anaheim, CA, 9 - 13 April 2017 and is made available as an electronic reprint (preprint) with permission of SPIE. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.

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Laser-Based Sensors for Addressing Climate Change

Mickey B. Frish
Conference on Lasers and Electro-Optics (CLEO)
Session AM3B: Greenhouse Gas Sensing
May 15, 2017, San Jose, CA

Identifying, measuring, and reducing mankind’s contribution to climate change is an
urgent international endeavor. This paper describes our work dedicated towards developing and
applying laser sensors to support efforts to reduce greenhouse gas emissions.

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Advanced LWIR hyperspectral sensor for on-the-move proximal detection of liquid/solid contaminants on surfaces

Jay P. Giblin, John Dixon, Julia R. Dupuis, Bogdan R. Cosofret, William J. Marinelli
SPIE Defense and Commercial Sensing
Anaheim, CA, 9 - 13 April 2017
(SPIE Paper No. 10183-4)

Sensor technologies capable of detecting low vapor pressure liquid surface contaminants, as well as solids, in a noncontact fashion while on-the-move continues to be an important need for the U.S. Army.

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In this paper, we discuss the development of a long-wave infrared (LWIR, 8-10.5 μm) spatial heterodyne spectrometer coupled with an LWIR illuminator and an automated detection algorithm for detection of surface contaminants from a moving vehicle. The system is designed to detect surface contaminants by repetitively collecting LWIR reflectance spectra of the ground. Detection and identification of surface contaminants is based on spectral correlation of the measured LWIR ground reflectance spectra with high fidelity library spectra and the system’s cumulative binary detection response from the sampled ground. We present the concepts of the detection algorithm through a discussion of the system signal model. In addition, we present reflectance spectra of surfaces contaminated with a liquid CWA simulant, triethyl phosphate (TEP), and a solid simulant, acetaminophen acquired while the sensor was stationary and on-the-move. Surfaces included CARC painted steel, asphalt, concrete, and sand. The data collected was analyzed to determine the probability of detecting 800 μm diameter contaminant particles at a 0.5 g/m2 areal density with the SHSCAD traversing a surface

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Copyright © 2017 Society of Photo-Optical Instrumentation Engineers. This paper was presented at SPIE Defense and Commercial Sensing, Anaheim, CA, 9 - 13 April 2017 (SPIE Paper No. 10183-4) and is made available as an electronic reprint (preprint) with permission of SPIE. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.

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Scanning, standoff TDLAS leak imaging and quantification

Richard T. Wainner, Nicholas F. Aubut, Matthew C. Laderer, Michael B. Frish
SPIE Commercial & Scientific Sensing and Imaging Conference
Next Generation Spectroscopic Technologies X
Anaheim, California
9 - 13 April 2017
SPIE Paper No. 10210-5

This paper reports a novel quantitative gas plume imaging tool, based on active near-infrared Backscatter Tunable Diode Laser Absorption Spectroscopy (b-TDLAS) technology, designed for upstream natural gas leak applications.

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The new tool integrates low-cost laser sensors with video cameras to create a highly sensitive gas plume imager that also quantifies emission rate, all in a lightweight handheld ergonomic package. It is intended to serve as a lower-cost, higherperformance, enhanced functionality replacement for traditional passive non-quantitative mid-infrared Optical Gas Imagers (OGI) which are utilized by industry to comply with natural gas infrastructure Leak Detection and Repair (LDAR) requirements. It addresses the need for reliable, robust, low-cost sensors to detect and image methane leaks, and to quantify leak emission rates, focusing on inspections of upstream oil and gas operations, such as well pads, compressors, and gas plants. It provides: 1) Colorized quantified images of path-integrated methane concentration. The images depict methane plumes (otherwise invisible to the eye) actively interrogated by the laser beam overlaid on a visible camera image of the background. The detection sensitivity exceeds passive OGI, thus simplifying the manual task of leak detection and location; and 2) Data and algorithms for using the quantitative information gathered by the active detection technique to deduce plume flux (i.e. methane emission rate). This key capability will enable operators to prioritize leak repairs and thereby minimize the value of lost product, as well as to quantify and minimize greenhouse gas emissions, using a tool that meets EPA LDAR imaging equipment requirements.

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Copyright © 2017 Society of Photo-Optical Instrumentation Engineers. This paper was presented at SPIE SPIE Commercial & Scientific Sensing and Imaging Conference, Anaheim, California, 9 - 13 April 2017 (SPIE Paper No. 10210-5) and is made available as an electronic reprint (preprint) with permission of SPIE. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.

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Emerging Mobile and Airborne TDLAS Sensors for Natural Gas Leak Quantification

Mickey B. Frish
Presented at:

MIRTHE+ Panel
Miniaturized and Mobile Spectroscopy and Optical Sensor Applications

SPIE Defense and Commercial Sensing Conference
Anaheim, CA, 12 April 2017

Natural Gas is 90% Methane, A Potent Greenhouse Gas. Maintaining system security and integrity is a continual process of searching for, locating, and repairing leaks. PSI's Portable Standoff near-IR TDLAS
for Leak Survey.

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