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Abstract #0434

AIR-MRF: Accelerated iterative reconstruction for magnetic resonance fingerprinting

Christopher C. Cline1,2, Xiao Chen1, Boris Mailhe1, Qiu Wang1, and Mariappan Nadar1

1Medical Imaging Technologies, Siemens Healthcare, Princeton, NJ, United States, 2Biomedical Engineering, University of Minnesota, Minneapolis, MN, United States

We propose an accelerated iterative reconstruction for magnetic resonance fingerprinting (AIR-MRF) with comprehensive integration of temporal compression of fingerprints and accelerated dictionary matching with approximate nearest neighbor search. Faster and more accurate MRF reconstruction was achieved, as demonstrated by simulations with a numerical phantom.

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