Quantitative Mapping of Lung Ventilation Using Hyperpolarized Gas Magnetic Resonance Imaging

摘要: The main objective of this project was to develop and implement techniques for high-resolution quantitative imaging ventilation in lungs using hyperpolarized gas magnetic resonance (MRI). Pulmonary is an important aspect lung function frequently compromised through several different mechanisms at varying degrees presence certain conditions, such as chronic obstructive pulmonary diseases. primary focus development on large mammalian species a steppingstone towards translation human subjects. key deliverables are device real-time mixing delivery gases 3He 129Xe combination with O2, MRI acquisition scheme practical signal build-up the lungs, robust mathematical model estimation regional fractional values high resolution. A theoretical framework replacement presented describe dynamics during continuous breathing mixture depolarization mechanisms. hybrid proposed acquire series images short end-inspiratory breath-holds over breaths. sensitivity algorithm assessed respect noise, uncertainty parameters, subsequently optimal set parameters minimize error. This then augmented by undersampled parallel accelerate image enable entire volume single pass. undersampling also leveraged coupling associated buildup airways irreversible effect RF pulses. technique successfully implemented pigs under mechanical ventilation, preliminary measurements were performed adult subject voluntary breathing. Degree Type Dissertation Name Doctor Philosophy (PhD) Graduate Group Electrical & Systems Engineering First Advisor Rahim R. Rizi