Pediatric Radiology

, Volume 36, Issue 9, pp 965–969 | Cite as

Determination of respiratory phase during acquisition of airway cine MR images

  • Maninder KalraEmail author
  • Lane F. Donnelly
  • Keith McConnell
  • Kendall O’Brien
  • Jaskaran Sandhu
  • James Johnson
  • Raouf S. Amin
Technical Innovation


Subjects were imaged on a 1.5-T Signa MRI system using the head-neck vascular coil. An axial fast gradient echo cine, at the base of the second cervical vertebra, was obtained. A total of 128 images were acquired with a rapid image acquisition (one per second) over several respiratory cycles. The analog signal from the MR scanner (RF unblank) was utilized to determine the duration of the cine MR sequence. The phase of respiration was determined by analyzing the nasal air flow connected via pressure tubing to a pressure transducer outside the MR scanner room. We were thus able to determine the phase of respiration during acquisition of individual airway cine MR images. There was a wide range of airway volume measurements over the respiratory cycle with the lowest volume at end expiration and the highest at peak inspiration.


OSA Cine MRI Airway dynamics 


  1. 1.
    Abbott MB, Dardzinski BJ, Donnelly LF (2003) Using volume segmentation of cine MR data to evaluate dynamic motion of the airway in pediatric patients. AJR 181:857–859PubMedGoogle Scholar
  2. 2.
    Donnelly LF, Shott SR, LaRose CR, et al (2004) Causes of persistent obstructive sleep apnea despite previous tonsillectomy and adenoidectomy in children with Down syndrome as depicted on static and dynamic cine MRI. AJR 183:175–181PubMedGoogle Scholar
  3. 3.
    Abbott MB, Donnelly LF, Dardzinski BJ, et al (2004) Obstructive sleep apnea: MR imaging volume segmentation analysis. Radiology 232:889–895PubMedCrossRefGoogle Scholar
  4. 4.
    Larson AC, Kellman P, Arai A, et al (2005) Preliminary investigation of respiratory self-gating for free-breathing segmented cine MRI. Magn Reson Med 53:159–168PubMedCrossRefGoogle Scholar
  5. 5.
    Schwab RJ, Pasirstein M, Pierson R, et al (2003) Identification of upper airway anatomic risk factors for obstructive sleep apnea with volumetric magnetic resonance imaging. Am J Respir Crit Care Med 168:522–530PubMedCrossRefGoogle Scholar
  6. 6.
    Farag AA, Hassan H, Falk R, et al (2004) 3-D volume segmentation of MRA data sets using level sets: image processing and display. Acad Radiol 11:419–435PubMedCrossRefGoogle Scholar
  7. 7.
    Solomon J, Warren K, Dombi E, et al (2004) Automated detection and volume measurement of plexiform neurofibromas in neurofibromatosis 1 using magnetic resonance imaging. Comput Med Imaging Graph 28:257–265PubMedCrossRefGoogle Scholar
  8. 8.
    Hoffstein V, Zamel N, Phillipson EA (1984) Lung volume dependence of pharyngeal cross-sectional area in patients with obstructive sleep apnea. Am Rev Respir Dis 130:175–178PubMedGoogle Scholar
  9. 9.
    Arens R, Sin S, McDonough JM, et al (2005) Changes in upper airway size during tidal breathing in children with obstructive sleep apnea syndrome. Am J Respir Crit Care Med 171:1298–1304PubMedCrossRefGoogle Scholar

Copyright information

© Springer-Verlag 2006

Authors and Affiliations

  • Maninder Kalra
    • 1
    Email author
  • Lane F. Donnelly
    • 2
  • Keith McConnell
    • 1
  • Kendall O’Brien
    • 2
  • Jaskaran Sandhu
    • 3
  • James Johnson
    • 4
  • Raouf S. Amin
    • 1
  1. 1.Division of Pulmonary MedicineCincinnati Children’s HospitalCincinnatiUSA
  2. 2.Department of RadiologyCincinnati Children’s HospitalCincinnatiUSA
  3. 3.Department of PsychiatryUniversity of MissouriColumbiaUSA
  4. 4.Department of Respiratory CareCincinnati Children’s HospitalCincinnatiUSA

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