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Abstract #3122

Towards quantitative characterization of airway collapse in obstructive sleep apnea

Subin Erattakulangara1, Wahidul Alam1, Douglas Van Daele2, Junjie Liu3, and Sajan Goud Lingala1,4
1Roy J Carver Department of Biomedical Engineering, University of Iowa, iowa city, IA, United States, 2Department of Otolaryngology, University of Iowa, iowa city, IA, United States, 3Department of Neurology, University of Iowa, iowa city, IA, United States, 4Department of Radiology, University of Iowa, iowa city, IA, United States

Synopsis

Keywords: Segmentation, Segmentation

Motivation: The motivation for this research study is to better understand and characterize upper-airway collapse during sleep in patients with obstructive sleep apnea (OSA). The study aims to provide valuable insights into the dynamics of airway collapse.

Goal(s): The main goal is to quantitatively assess upper-airway collapse dynamics in both OSA and normal individuals, developing imaging phenotypes.

Approach: The research methodology involves data collection using MRI, manual analysis for quantitative imaging phenotypes, and presenting qualitative and quantitative findings.

Results: The study effectively visualizes airway collapse patterns in normal and OSA patients, develops quantitative imaging phenotypes, and distinguishes various collapse patterns.

Impact: The study's results provide researchers with new, quantitative insights into upper-airway collapse in sleep apnea. This may enable more precise diagnosis and treatment, stimulate further research into non-CPAP therapies, and improve the quality of care for patients with sleep apnea.

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Keywords