Abstract #0674

Optimal Experiment Design for Magnetic Resonance Fingerprinting: New Insights and Further Improvements

Bo Zhao^1,2, Justin P. Haldar³, Congyu Liao¹, Dan Ma⁴, Mark A. Griswold⁴, Kawin Setsompop^1,2, and Lawrence L. Wald^1,2

¹Athinoula A. Martinos Center for Biomedical Imaging, Chalestown, MA, United States, ²Harvard Medical School, Boston, MA, United States, ³Electrical Engineering, University of Southern California, Los Angeles, CA, United States, ⁴Radiology, Case Western Reserve University, Cleveland, OH, United States

The Cramer-Rao bound (CRB) based experiment design was previously described to optimize the SNR efficiency of MRF experiments. Here we revisit such a problem and provide new insights. Specifically, we present a new CRB-based experiment design approach, which introduces an additional set of constraints on the variation of flip angles to enforce the smoothness of the magnetization evolution. We demonstrate that the proposed approach is advantageous for highly-undersampled MRF experiments. We evaluated the effectiveness of the proposed approach with both simulations and phantom experiments.

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