Low sensitivity remains a major challenge on the way to utilizing the full potential of 19F-MRI, despite its unique detection specificity for imaging inflammation. Compressed sensing allows the reconstruction of high quality images from severely undersampled data by relying on prior statistical knowledge. We show that investing the gained acquisition speed into increased averaging improves the detection of 19F-nanoparticles in an EAE mouse model. Thus compressed sensing helps to improve the sensitivity of 19F-MRI. This paves the way to enhanced spatial and temporal resolution for future in vivo studies.
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