Deriving lung data with MRI is challenging due to several reasons, including short T2*, cardiac and respiratory motion, and low proton density. In this study, a tiny golden angle UTE stack-of-stars (UTE STyGAS) sequence was applied for quantification of lung parenchymal functional parameters, including proton fraction, fractional ventilation and perfusion. Data were acquired during free breathing and reconstructed applying an image-based self-gating technique.
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