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Abstract #4006

Modeling of the Spatio-temporal Distribution of Pulmonary Ventilation via Perfluoropropane Gas Enhanced MRI

Brian J. Soher 1 , Ahmed F. Halaweish 2 , and H. Cecil Charles 1

1 Duke University Medical Center, Durham, NC, United States, 2 Siemens Healthcare, MN, United States

MRI of pulmonary ventilation using perfluoropropane as a gas contrast agent enables a dynamic, multi-breath assessment of the spatiotemporal distribution of the gas within the airspaces. The dynamic nature of the acquisitions gives way to the generation of various intensity and parametric based biomarkers of pulmonary ventilation encompassing ventilation distribution, efficiency and the severity, size and persistence of gas trapping and ventilation defects. In this work we demonstration the extraction of the biomarkers relating to the aforementioned physiological phenomenon.

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