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

Josephine H. Naish; Geoffrey J M Parker; Paul C. Beatty; Alan Jackson; Simon S. Young; John C. Waterton; Chris J. Taylor

doi:10.1002/mrm.20570

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

Josephine H. Naish, Geoffrey J M Parker, Paul C. Beatty, Alan Jackson, Simon S. Young, John C. Waterton, Chris J. Taylor

Research output: Contribution to journal › Article › peer-review

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	https://doi.org/10.1002/mrm.20570
Publication status	Published - Aug 2005

Keywords

Lung
Oxygen-enhanced
Pulmonary
Registration
Ventilation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1002/mrm.20570

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Cite this

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title = "Improved quantitative dynamic regional oxygen-enhanced pulmonary imaging using image registration",

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. {\textcopyright} 2005 Wiley-Liss, Inc.",

keywords = "Lung, Oxygen-enhanced, Pulmonary, Registration, Ventilation",

author = "Naish, {Josephine H.} and Parker, {Geoffrey J M} and Beatty, {Paul C.} and Alan Jackson and Young, {Simon S.} and Waterton, {John C.} and Taylor, {Chris J.}",

year = "2005",

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language = "English",

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T1 - Improved quantitative dynamic regional oxygen-enhanced pulmonary imaging using image registration

AU - Naish, Josephine H.

AU - Parker, Geoffrey J M

AU - Beatty, Paul C.

AU - Jackson, Alan

AU - Young, Simon S.

AU - Waterton, John C.

AU - Taylor, Chris J.

PY - 2005/8

Y1 - 2005/8

N2 - 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.

AB - 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.

KW - Lung

KW - Oxygen-enhanced

KW - Pulmonary

KW - Registration

KW - Ventilation

U2 - 10.1002/mrm.20570

DO - 10.1002/mrm.20570

M3 - Article

C2 - 16032679

SN - 0740-3194

VL - 54

SP - 464

EP - 469

JO - Magnetic Resonance in Medicine

JF - Magnetic Resonance in Medicine

IS - 2

ER -

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

Abstract

Keywords

UN SDGs

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