Abstract #1357

Toward an Optimized Dictionary for Pattern Matching in Magnetic Resonance Fingerprinting

Kun Yang¹, Yun Jiang^1,2, Mark Griswold^1,2, Vikas Gulani^1,2, and Debra McGivney²

¹Dept. of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, ²Dept. of Radiology, University Hospitals of Cleveland, Cleveland, OH, United States

An important issue in magnetic resonance fingerprinting (MRF) is the precision of pattern matching. The sensitivity of inner product between the signal and dictionary can be corrupted by closely spaced dictionary entries. In order to make MRF more sensitive and precise, four modifications of the MRF dictionary are proposed. The performance of each method is tested and compared over 30 repetitions in a phantom scan. Some of the methods demonstrate a significant reduction in the error over the original MRF dictionary.

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