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Abstract #1399

Variation of Proton Lung Signal with Ventilation at 3T

Zachary Peggs1, Jonathan Brooke2, Andrew Cooper1, Charlotte Bolton2, Ian Hall2, Susan Francis1, and Penny Gowland1
1Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 2The Nottingham Biomedical Research Centre (BRC), Respiratory Medicine Dept, School of Medicine, University of Nottingham, Nottingham, United Kingdom

Synopsis

The nature of MR signal variations during healthy ventilation at 3T were explored in 8 healthy participants. Fourier decomposition (FD) techniques were used to remove cardiac signal contributions, and the phase, correlation coefficient and gradient of the parenchyma signal with respect to diaphragm signal were found. This analysis showed that for some voxels, the relationship between parenchyma signal and diaphragm signal is distinctly non-linear. Also, that breathing pattern is an important confounding factor when using the diaphragmatic movement as a surrogate for the change in lung volume, where an additional measure such as a separate 3D acquisition may prove beneficial.

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