Abstract #3394
Comparison of Different Approaches of Pattern Matching for MR Fingerprinting
Thomas Amthor 1 , Mariya Doneva 1 , Peter Koken 1 , Jochen Keupp 1 , and Peter Brnert 1
1
Philips Research Europe, Hamburg, Germany
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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