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Abstract #0658

Functional Lung MRI at 3.0 T using Oxygen-Enhanced MRI (OE-MRI) and Independent Component Analysis (ICA)

Sarah H. Needleman1, Mina Kim1, Jamie R. McClelland1, Marta Tibiletti2, Josephine H. Naish2,3, James P. B. O'Connor4, and Geoff J. M. Parker1,2
1Centre for Medical Image Computing (CMIC), University College London, London, United Kingdom, 2Bioxydyn Limited, Manchester, United Kingdom, 3MCMR, Manchester University NHS Foundation Trust, Manchester, United Kingdom, 4Division of Radiotherapy and Imaging, Institute of Cancer Research, London, United Kingdom


Analysis of dynamic lung OE-MRI is challenging due to the presence of substantial artefacts and poor SNR, particularly at 3 T. We propose a cyclical oxygen delivery scheme and ICA to separate the oxygen-enhancement signal from these confounding factors at 3 T. The proposed method extracts a well-defined oxygen-enhancement signal that removes confounds due to proton density changes, blood flow and motion. We also demonstrate the ability to resolve the opposite enhancement effects of the parenchymal and vascular OE-MRI signals to provide information on pulmonary vasculature and gas distribution. The method is shown to be sensitive to smoking status.

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