Impacts of compressed sense-parallel imaging on lung 19F-MRI ventilation imaging measured with tissue-mimicking 1H phantoms.

We used 1H test objects to assess the ability to detect and quantify lung ventilation defects using accelerated 19F-MRI ventilation scan protocols. The test objects replicated the spin density and relaxation properties of inhaled perfluoropropane gas and are constructed with signal voids of known dimensions to simulate ventilation defects. Scans were acquired on single- and multi-channel RF receiver arrays, with multiple compressed sensing and parallel imaging (CS/CS-PI) accelerations and scan resolutions at fixed scan duration and field-of-view (FOV). A negative relationship between acceleration and measured ventilation defect diameter was observed with increasing CS acceleration factor, but not for CS-PI scans.