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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