Abstract #0434

AIR-MRF: Accelerated iterative reconstruction for magnetic resonance fingerprinting

Christopher C. Cline^1,2, 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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