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. © 2005 Wiley-Liss, Inc.
| Original language | English |
|---|---|
| Pages (from-to) | 464-469 |
| Number of pages | 5 |
| Journal | Magnetic Resonance in Medicine |
| Volume | 54 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - Aug 2005 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Lung
- Oxygen-enhanced
- Pulmonary
- Registration
- Ventilation
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