MR image analytics to characterize upper airway architecture in children with OSAS

Yubing Tong, Jayaram K. Udupa, Drew A. Torigian, Monica M S Matsumoto, Sanghun Sin, Raanan Arens

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Mechanisms leading to Obstructive Sleep Apnea Syndrome (OSAS) in obese children are not well understood. We previously analyzed polysomnographic and demographic data to study the anatomical characteristics of the upper airway and body composition in two groups of obese children with and without OSAS, where object volume was evaluated. In this paper, in order to better understand the disease we expand the analysis considering a variety of features that include object-specific features such as size, surface area, sphericity, and image intensity properties of fourteen objects in the vicinity of the upper airway, as well as inter-object relationships such as distance between objects. Our preliminary results indicate several interesting phenomena: volumes and surface areas of adenoid and tonsils increase statistically significantly in OSAS. Standardized T2-weighted MR image intensities differ statistically significantly between the two groups, implying that perhaps intrinsic tissue composition undergoes changes in OSAS. Inter-object distances are significantly different between the two groups for object pairs (skin, oropharynx), (skin, fat pad), (skin, soft palate), (mandible, tongue), (oropharynx, soft palate), (left tonsil, oropharynx), (left tonsil, fat pad) and (left tonsil, right tonsil). We conclude that treatment methods for OSAS such as adenotonsillectomy should respect proportional object size relationships and spatial arrangement of objects as they exist in control subjects.

Original languageEnglish (US)
Title of host publicationProgress in Biomedical Optics and Imaging - Proceedings of SPIE
PublisherSPIE
Volume9417
ISBN (Print)9781628415070
DOIs
StatePublished - 2015
EventMedical Imaging 2015: Biomedical Applications in Molecular, Structural, and Functional Imaging - Orlando, United States
Duration: Feb 24 2015Feb 26 2015

Other

OtherMedical Imaging 2015: Biomedical Applications in Molecular, Structural, and Functional Imaging
CountryUnited States
CityOrlando
Period2/24/152/26/15

Fingerprint

sleep
Palatine Tonsil
respiration
Obstructive Sleep Apnea
Oropharynx
Soft Palate
Skin
fats
Oils and fats
Adipose Tissue
Fats
Adenoids
tongue
Body Composition
Chemical analysis
Mandible
Tongue
Demography
Sleep
Tissue

Keywords

  • Image analytics
  • MR imaging
  • Obstructive sleep apnea syndrome
  • Upper airway

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

Cite this

Tong, Y., Udupa, J. K., Torigian, D. A., Matsumoto, M. M. S., Sin, S., & Arens, R. (2015). MR image analytics to characterize upper airway architecture in children with OSAS. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE (Vol. 9417). [94172J] SPIE. https://doi.org/10.1117/12.2082574

MR image analytics to characterize upper airway architecture in children with OSAS. / Tong, Yubing; Udupa, Jayaram K.; Torigian, Drew A.; Matsumoto, Monica M S; Sin, Sanghun; Arens, Raanan.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 9417 SPIE, 2015. 94172J.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Tong, Y, Udupa, JK, Torigian, DA, Matsumoto, MMS, Sin, S & Arens, R 2015, MR image analytics to characterize upper airway architecture in children with OSAS. in Progress in Biomedical Optics and Imaging - Proceedings of SPIE. vol. 9417, 94172J, SPIE, Medical Imaging 2015: Biomedical Applications in Molecular, Structural, and Functional Imaging, Orlando, United States, 2/24/15. https://doi.org/10.1117/12.2082574
Tong Y, Udupa JK, Torigian DA, Matsumoto MMS, Sin S, Arens R. MR image analytics to characterize upper airway architecture in children with OSAS. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 9417. SPIE. 2015. 94172J https://doi.org/10.1117/12.2082574
Tong, Yubing ; Udupa, Jayaram K. ; Torigian, Drew A. ; Matsumoto, Monica M S ; Sin, Sanghun ; Arens, Raanan. / MR image analytics to characterize upper airway architecture in children with OSAS. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 9417 SPIE, 2015.
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