Note

Improved quantitative dynamic regional oxygen-enhanced pulmonary imaging using image registration

  1. Josephine H. Naish1,*,
  2. Geoffrey J. M. Parker1,
  3. Paul C. Beatty1,
  4. Alan Jackson1,
  5. Simon S. Young3,
  6. John C. Waterton2,
  7. Chris J. Taylor1

Article first published online: 19 JUL 2005

DOI: 10.1002/mrm.20570

Issue

Magnetic Resonance in Medicine

Magnetic Resonance in Medicine

Volume 54, Issue 2, pages 464–469, August 2005

Additional Information

How to Cite

Naish, J. H., Parker, G. J. M., Beatty, P. C., Jackson, A., Young, S. S., Waterton, J. C. and Taylor, C. J. (2005), Improved quantitative dynamic regional oxygen-enhanced pulmonary imaging using image registration. Magnetic Resonance in Medicine, 54: 464–469. doi: 10.1002/mrm.20570

Author Information

  1. 1

    Imaging Science and Biomedical Engineering, University of Manchester, Manchester, United Kingdom

  2. 2

    Global Sciences and Information, AstraZeneca, Alderley Park, Macclesfield, Cheshire, United Kingdom

  3. 3

    AstraZeneca R&D Charnwood, Loughborough, United Kingdom

*Imaging Science and Biomedical Engineering, University of Manchester, Oxford Road, Manchester M13 9PT, United Kingdom

Publication History

  1. Issue published online: 19 JUL 2005
  2. Article first published online: 19 JUL 2005
  3. Manuscript Revised: 11 MAR 2005
  4. Manuscript Accepted: 11 MAR 2005
  5. Manuscript Received: 11 MAY 2004

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Keywords:

  • lung;
  • pulmonary;
  • oxygen-enhanced;
  • registration;
  • ventilation

Abstract

Oxygen-enhanced MR imaging has been demonstrated in a number of recent studies as a potential method to visualize regional ventilation in the lung. A quantitative pixel-by-pixel analysis is hampered by motion and volume change due to breathing. In this study, image registration via active shape modeling is shown to produce significant improvements in the regional analysis of both static and dynamic oxygen-enhanced pulmonary MRI for five normal volunteers. The method enables the calculation of regional change in relaxation rate between breathing air and 100% oxygen, which is proportional to the change in regional oxygen concentration, and regional oxygen wash-in and wash-out time constants. Registration-corrected mapping of these parameters is likely to provide improved information in the regional assessment of a range of lung diseases. Magn Reson Med 54:464–469, 2005. © 2005 Wiley-Liss, Inc.

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