Abstract #1883

Integration of HP 3He MRI with In Silico Models to Predict Gas Flows in Severe Asthma Subjects

Kamran Poorbahrami¹, David Mummy², Ben Piperno³, Stephen Paik³, Ellesse Cooper³, Michaiah Parker³, Sean Fain^2,4,5, and Jessica Oakes³

¹Mechanical and Industrial Engineering, Northeastern University, Boston, MA, United States, ²Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, ³BioEngineering, Northeastern University, Boston, MA, United States, ⁴Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, ⁵Radiology, University of Wisconsin-Madison, Madison, WI, United States

Hyperpolarized ³He MRI, CT data, and patient-specific computational modeling methods are combined to predict airflow distributions, pressure maps, and central and peripheral resistances in three severe asthma subjects. Simulation results indicate variations in gas flows between the subjects and show a correlation between SVDP and peripheral respiratory resistances.

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