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Abstract #2546

Quantitative Prediction of Lung Disease with Hyperpolarized Gas MRI Validation in a Murine Model of Emphysema

Masaru Ishii1,2, Kiarash Emami2, John M. Woodburn2, Stephen J. Kadlecek2, Elaine Chia2, Jianliang Zhu3, Stephen Pickup2, Yi Xin2, Rahim R. Rizi2

1Department of Otolaryngology, Johns Hopkins University, Baltimore, MD, United States; 2Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States; 3Department of Surgery, University of Pennsylvania, Philadelphia, PA, United States

The sensitivity of two HP 3He MRI-based measurements, gas diffusivity and ventilation, to elastase-induced changes in a murine model of emphysema is studied in this work. The motivation is primarily the increasing interest in assessments of pulmonary disease models and assessments of therapeutic interventions in transgenic murine disease models, which require that functional and structural lung imaging techniques be translated to a smaller scale. We present a predictive model for calculating the probability that a section of lung originated from a diseased animal.