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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 Niendorf1,2, 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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