Abstract #2883

Performance of Compressed Sensing for detecting low SNR 19F MRI in the Murine Brain using Prospective Undersampling

Ludger Starke¹, Joao dos Santos Periquito¹, Christian Prinz¹, Andreas Pohlmann¹, Thorald Niendorf^1,2, and Sonia Waiczies¹

¹Berlin Ultrahigh Field Facility (B.U.F.F.), Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Berlin, Berlin, Germany, ²Charité Campus Buch, Experimental and Clinical Research Center (ECRC), Berlin, Germany

Fluorine-19 (¹⁹F) MRI is an established tool for tracking inflammatory cells in vivo due to its excellent detection specificity. Nonetheless, low signal-to-noise ratios remain a major challenge, especially when studying inflammatory cell distribution in the brain. It was shown that compressed sensing (CS) increases ¹⁹F MRI sensitivity, yet prospective undersampling using dedicated CS sequences has only been reported in proof of concept experiments. Since false positives were observed in CS reconstructions, this work provides a thorough assessment of detection performance of in vivo CS as a tool for enhancing ¹⁹F MRI sensitivity.

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