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Abstract #1336

Effect of Image Registration on Oxygen-Enhanced MRI of the Lung

MAGNA25Alexandra R. Morgan1, 2, Arousa Ali1, Penny L. Hubbard1, 2, Geoff JM Parker1, 2, Marietta LJ Scott3, Simon S. Young3, Lars E. Olsson4, Caleb Roberts1, 2, Josephine H. Naish1, 2

1Imaging Science, School of Cancer and Enabling Sciences, Manchester Academic Health Science Centre, The University of Manchester, Manchester, Greater Manchester, United Kingdom; 2Biomedical Imaging Institute, The University of Manchester, Manchester, Greater Manchester, United Kingdom; 3AstraZeneca R&D, Alderley Park, Macclesfield, United Kingdom; 4AstraZeneca R&D, Mlndal, Sweden

Pixel-wise analysis of pulmonary images acquired using oxygen-enhanced magnetic resonance imaging (OE-MRI) is challenging because of non-linear changes in shape and size of the lung during free breathing. A new non-linear image registration method is presented here, utilizing a lung motion model derived on a subject-by-subject basis from serial structural imaging. The method is shown to be advantageous when compared with no registration and with a 1-D linear registration, reducing error in fitting baseline T1 maps post-registration and alleviating motion induced signal intensity fluctuations in dynamic OE-MRI of oxygen wash-in/-out.

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Keywords

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