Upper airway motion analysis in obstructive sleep apnea syndrome (OSAS) via dynamic MRI

You Hao; Jayaram K. Udupa Sr.; Yubing Tong; Drew A. Torigian; Zihan Huang; Rachel M. Kogan; Lipeng Xie; David Wootton; Kokren Choy; Sanghun Sin; Mark E. Wagshul; Raanan Arens

doi:10.1117/12.2613920

4 April 2022 Upper airway motion analysis in obstructive sleep apnea syndrome (OSAS) via dynamic MRI

You Hao, Jayaram K. Udupa Sr., Yubing Tong, Drew A. Torigian, Zihan Huang, Rachel M. Kogan, Lipeng Xie, David Wootton, Kokren Choy, Sanghun Sin, Mark E. Wagshul, Raanan Arens

Author Affiliations +

Proceedings Volume 12036, Medical Imaging 2022: Biomedical Applications in Molecular, Structural, and Functional Imaging; 120361R (2022) https://doi.org/10.1117/12.2613920
Event: SPIE Medical Imaging, 2022, San Diego, California, United States

Conference Poster

Abstract

Obstructive sleep apnea syndrome (OSAS) is one of the most common sleep disorders that endangers human health, which is associated with episodes of apnea or hypopnea during sleep. In children, OSAS is associated with cardiovascular morbidity, neurobehavioral deficits, and poor quality of life, which highlights the importance for early diagnosis and treatment. Recent studies using dynamic magnetic resonance imaging (dMRI) have shown that adults with OSAS exhibit airway narrowing in specific regions that display increased variability in diameter during sleep as compared with controls. In this paper, we propose a novel method to compare OSAS patients with control subjects during awake and asleep states to assess the regional dynamic changes that occur in specific locations of the upper airway. Firstly, we segment the 3D upper airway with a previously developed fully automatic method. Then, different types of breathing cycles are selected by experts based on polysomnography. For each cycle, we calculate the distance of each point on the surface of the upper airway from end-expiration (EE) to end-inspiration (EI), which is then utilized for subsequent motion analysis. The 3D upper airway is subsequently divided into 4 anatomical parts manually. Lastly, comparisons of the dynamic upper airway motion measurements from different cycle groups are performed between OSAS patients and control subjects. Comparisons of different types of cycles within the same anatomical part demonstrated significant differences between control subjects and OSAS patients in all anatomic parts with some exceptions. These novel observations may provide some insights into the pathophysiology of OSAS.

Citation Download Citation

You Hao, Jayaram K. Udupa Sr., Yubing Tong, Drew A. Torigian, Zihan Huang, Rachel M. Kogan, Lipeng Xie, David Wootton, Kokren Choy, Sanghun Sin, Mark E. Wagshul, and Raanan Arens "Upper airway motion analysis in obstructive sleep apnea syndrome (OSAS) via dynamic MRI", Proc. SPIE 12036, Medical Imaging 2022: Biomedical Applications in Molecular, Structural, and Functional Imaging, 120361R (4 April 2022); https://doi.org/10.1117/12.2613920

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available