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Abstract #3513

Automated Quantification of Ventilation Defects and Heterogeneity in 3D Isotropic 129Xe MRI

Tuneesh K Ranota1, Fumin Guo2, Tingting Wu3, Matthew S Fox4, and Alexei Ouriadov3
1School of Biomedical Engineering, The University of Western Ontario, London, ON, Canada, 2Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada, 3Physics and Astronomy, The University of Western Ontario, London, ON, Canada, 4Physics and Astronomy, Lawson Health Research Institute, London, ON, Canada

Synopsis

Hyperpolarized 129Xe MRI provides a way to investigate and assess pulmonary diseases. To improve the performance of 129Xe MRI in lung imaging, a method for acquiring two VDP calculations using high-resolution 3D static ventilation imaging from FGRE combined with a key-hole method was proposed and demonstrated in participants with ventilation abnormalities. SNR was calculated as well as semi-automated VDP and fully automated VDP, which showed a strong positive linear correlation with a zero intercept and close to unity slop. This study confirms the feasibility of using isotropic-voxel 129Xe MRI acquired in a single breath-hold to study ventilation heterogeneity.

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