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Abstract #2835

Towards Optimized Experiment Design for Magnetic Resonance Fingerprinting

Bo Zhao1, Justin P. Haldar2, Kawin Setsompop1, and Lawrence L. Wald1

1Martinos Center for Biomedical Imaging, Chalestown, MA, United States, 2Signal and Image Processing Institute, University of Southern California, Los Angeles, CA, United States

A principled framework is proposed to optimize the experiment design for magnetic resonance fingerprinting (MRF) based on the Cramer-Rao bound. Within this framework, we optimize the acquisition parameters (flip angle, TR, etc.) to maximize the SNR efficiency of quantitative parameter estimation. Preliminary results indicate that the optimized experiments allow for substantially reducing the length of an MRF acquisition and substantially improving estimation performance for the T2 map, while maintaining similar accuracy level for the T1 map. The proposed framework should prove useful for fast quantitative MR imaging with MRF.

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