Computational Analysis of the Droplet-Stimulated Laryngeal Adductor Reflex in High-Speed Sequences

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Jacob Friedemann Fast
  • Andra Oltmann
  • Svenja Spindeldreier
  • Martin Ptok

Organisationseinheiten

Externe Organisationen

  • Fraunhofer-Einrichtung für Individualisierte und Zellbasierte Medizintechnik (IMTE)
  • Medizinische Hochschule Hannover (MHH)
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Seiten (von - bis)2412-2419
Seitenumfang8
FachzeitschriftThe laryngoscope
Jahrgang132
Ausgabenummer12
PublikationsstatusVeröffentlicht - 12 Nov. 2022

Abstract

Objectives/Hypothesis The laryngeal adductor reflex (LAR) is an important protective mechanism of the airways. Its physiology is still not completely understood. The available methods for LAR evaluation offer limited reproducibility and/or rely on subjective interpretation. A new approach, termed Microdroplet Impulse Testing of the LAR (MIT-LAR), was recently introduced. Here, the LAR is elicited by a droplet and a laryngoscopic high-speed recording is acquired simultaneously. In the present work, image-processing algorithms for autonomous MIT-LAR sequence analysis were developed. This allowed the automated approximation of kinematic LAR parameters in humans. Study Design Development and testing of computational methods. Methods Computational image processing enabled the autonomous estimation of the glottal area, the glottal angle, and the vocal fold edge distance in MIT-LAR sequences. A suitable analytical representation of these glottal parameters allowed the extraction of seven relevant LAR parameters. The obtained values were compared to the literature. Results A generalized logistic function showed the highest average goodness of fit among four different analytical approaches for each of the glottal parameters. Autonomous sequence analysis yielded bilateral LAR response latencies of (229 ± 116) ms and (182 ± 60) ms for cases of complete and incomplete glottal closure, respectively. The initial/average/maximum angular vocal fold adduction velocity was estimated at (157 ± 115) °s−1/(891 ± 516) °s−1/(929 ±  583) °s−1 and (88 ± 53) °s−1/(421 ± 221) °s−1/(520 ± 238) °s−1 for complete and incomplete glottal closure, respectively. Conclusion The automated extraction of LAR parameters from laryngoscopic high-speed sequences can potentially increase the objectiveness of optical LAR characterization and reduce the associated workload. The proposed methods may thus be helpful for future research on this vital reflex. Level of Evidence N/A Laryngoscope, 2022

ASJC Scopus Sachgebiete

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Computational Analysis of the Droplet-Stimulated Laryngeal Adductor Reflex in High-Speed Sequences. / Fast, Jacob Friedemann; Oltmann, Andra; Spindeldreier, Svenja et al.
in: The laryngoscope, Jahrgang 132, Nr. 12, 12.11.2022, S. 2412-2419.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Fast JF, Oltmann A, Spindeldreier S, Ptok M. Computational Analysis of the Droplet-Stimulated Laryngeal Adductor Reflex in High-Speed Sequences. The laryngoscope. 2022 Nov 12;132(12):2412-2419. doi: 10.1002/lary.30041
Fast, Jacob Friedemann ; Oltmann, Andra ; Spindeldreier, Svenja et al. / Computational Analysis of the Droplet-Stimulated Laryngeal Adductor Reflex in High-Speed Sequences. in: The laryngoscope. 2022 ; Jahrgang 132, Nr. 12. S. 2412-2419.
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title = "Computational Analysis of the Droplet-Stimulated Laryngeal Adductor Reflex in High-Speed Sequences",
abstract = "Objectives/Hypothesis The laryngeal adductor reflex (LAR) is an important protective mechanism of the airways. Its physiology is still not completely understood. The available methods for LAR evaluation offer limited reproducibility and/or rely on subjective interpretation. A new approach, termed Microdroplet Impulse Testing of the LAR (MIT-LAR), was recently introduced. Here, the LAR is elicited by a droplet and a laryngoscopic high-speed recording is acquired simultaneously. In the present work, image-processing algorithms for autonomous MIT-LAR sequence analysis were developed. This allowed the automated approximation of kinematic LAR parameters in humans. Study Design Development and testing of computational methods. Methods Computational image processing enabled the autonomous estimation of the glottal area, the glottal angle, and the vocal fold edge distance in MIT-LAR sequences. A suitable analytical representation of these glottal parameters allowed the extraction of seven relevant LAR parameters. The obtained values were compared to the literature. Results A generalized logistic function showed the highest average goodness of fit among four different analytical approaches for each of the glottal parameters. Autonomous sequence analysis yielded bilateral LAR response latencies of (229 ± 116) ms and (182 ± 60) ms for cases of complete and incomplete glottal closure, respectively. The initial/average/maximum angular vocal fold adduction velocity was estimated at (157 ± 115) °s−1/(891 ± 516) °s−1/(929 ±  583) °s−1 and (88 ± 53) °s−1/(421 ± 221) °s−1/(520 ± 238) °s−1 for complete and incomplete glottal closure, respectively. Conclusion The automated extraction of LAR parameters from laryngoscopic high-speed sequences can potentially increase the objectiveness of optical LAR characterization and reduce the associated workload. The proposed methods may thus be helpful for future research on this vital reflex. Level of Evidence N/A Laryngoscope, 2022",
keywords = "Airway-protective mechanisms, computer-aided diagnosis, glottal closure reflex, high-speed endoscopy, laryngeal closure reflex, laryngeal kinematics, MIT-LAR, reflex evaluation",
author = "Fast, {Jacob Friedemann} and Andra Oltmann and Svenja Spindeldreier and Martin Ptok",
note = "Funding information: This work has received funding from Deutsche Forschungsgemeinschaft (grant no. PT 2/5?1).",
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Download

TY - JOUR

T1 - Computational Analysis of the Droplet-Stimulated Laryngeal Adductor Reflex in High-Speed Sequences

AU - Fast, Jacob Friedemann

AU - Oltmann, Andra

AU - Spindeldreier, Svenja

AU - Ptok, Martin

N1 - Funding information: This work has received funding from Deutsche Forschungsgemeinschaft (grant no. PT 2/5?1).

PY - 2022/11/12

Y1 - 2022/11/12

N2 - Objectives/Hypothesis The laryngeal adductor reflex (LAR) is an important protective mechanism of the airways. Its physiology is still not completely understood. The available methods for LAR evaluation offer limited reproducibility and/or rely on subjective interpretation. A new approach, termed Microdroplet Impulse Testing of the LAR (MIT-LAR), was recently introduced. Here, the LAR is elicited by a droplet and a laryngoscopic high-speed recording is acquired simultaneously. In the present work, image-processing algorithms for autonomous MIT-LAR sequence analysis were developed. This allowed the automated approximation of kinematic LAR parameters in humans. Study Design Development and testing of computational methods. Methods Computational image processing enabled the autonomous estimation of the glottal area, the glottal angle, and the vocal fold edge distance in MIT-LAR sequences. A suitable analytical representation of these glottal parameters allowed the extraction of seven relevant LAR parameters. The obtained values were compared to the literature. Results A generalized logistic function showed the highest average goodness of fit among four different analytical approaches for each of the glottal parameters. Autonomous sequence analysis yielded bilateral LAR response latencies of (229 ± 116) ms and (182 ± 60) ms for cases of complete and incomplete glottal closure, respectively. The initial/average/maximum angular vocal fold adduction velocity was estimated at (157 ± 115) °s−1/(891 ± 516) °s−1/(929 ±  583) °s−1 and (88 ± 53) °s−1/(421 ± 221) °s−1/(520 ± 238) °s−1 for complete and incomplete glottal closure, respectively. Conclusion The automated extraction of LAR parameters from laryngoscopic high-speed sequences can potentially increase the objectiveness of optical LAR characterization and reduce the associated workload. The proposed methods may thus be helpful for future research on this vital reflex. Level of Evidence N/A Laryngoscope, 2022

AB - Objectives/Hypothesis The laryngeal adductor reflex (LAR) is an important protective mechanism of the airways. Its physiology is still not completely understood. The available methods for LAR evaluation offer limited reproducibility and/or rely on subjective interpretation. A new approach, termed Microdroplet Impulse Testing of the LAR (MIT-LAR), was recently introduced. Here, the LAR is elicited by a droplet and a laryngoscopic high-speed recording is acquired simultaneously. In the present work, image-processing algorithms for autonomous MIT-LAR sequence analysis were developed. This allowed the automated approximation of kinematic LAR parameters in humans. Study Design Development and testing of computational methods. Methods Computational image processing enabled the autonomous estimation of the glottal area, the glottal angle, and the vocal fold edge distance in MIT-LAR sequences. A suitable analytical representation of these glottal parameters allowed the extraction of seven relevant LAR parameters. The obtained values were compared to the literature. Results A generalized logistic function showed the highest average goodness of fit among four different analytical approaches for each of the glottal parameters. Autonomous sequence analysis yielded bilateral LAR response latencies of (229 ± 116) ms and (182 ± 60) ms for cases of complete and incomplete glottal closure, respectively. The initial/average/maximum angular vocal fold adduction velocity was estimated at (157 ± 115) °s−1/(891 ± 516) °s−1/(929 ±  583) °s−1 and (88 ± 53) °s−1/(421 ± 221) °s−1/(520 ± 238) °s−1 for complete and incomplete glottal closure, respectively. Conclusion The automated extraction of LAR parameters from laryngoscopic high-speed sequences can potentially increase the objectiveness of optical LAR characterization and reduce the associated workload. The proposed methods may thus be helpful for future research on this vital reflex. Level of Evidence N/A Laryngoscope, 2022

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KW - computer-aided diagnosis

KW - glottal closure reflex

KW - high-speed endoscopy

KW - laryngeal closure reflex

KW - laryngeal kinematics

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KW - reflex evaluation

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