Comparison of Different Approaches of Pattern Matching for MR Fingerprinting

We present a comparison of different pattern matching algorithms for tissue characterization based on Magnetic Resonance Fingerprinting. The applicability of a simple dot product approach and a number of machine learning algorithms is investigated for different parameter regimes. We find that, in many cases, machine learning algorithms can offer higher accuracy and faster matching.

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