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Abstract #2595

Dictionary variance based optimization of MR Fingerprinting

Rasim Boyacioglu1, Sherry Huang2, Debra McGivney2, Yong Chen1, and Mark A Griswold1
1Radiology, Case Western Reserve University, Cleveland, OH, United States, 2Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States


This study presents an optimization tool to investigate and validate the effects of MR sequence modules on MR Fingerprinting. Dictionary variance across the tissue property dimension can predict the outcome of a given change in an MRF sequence. An MRF sequence variant is optimized by varying three typical MRF sequence blocks of FA pattern, RF phase and inversion pulses. The observations from the dictionary variance align with in vivo data results.

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