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Improved quantitative dynamic regional oxygen‐enhanced pulmonary imaging using image registration
Author(s) -
Naish Josephine H.,
Parker Geoffrey J. M.,
Beatty Paul C.,
Jackson Alan,
Young Simon S.,
Waterton John C.,
Taylor Chris J.
Publication year - 2005
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.20570
Subject(s) - image registration , oxygen , breathing , ventilation (architecture) , lung ventilation , pixel , computer science , relaxation (psychology) , nuclear medicine , environmental science , biomedical engineering , lung , image (mathematics) , computer vision , medicine , chemistry , physics , organic chemistry , anatomy , thermodynamics
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.