Abstract #0129

Applications of Low Rank Modeling to Fast 3D Magnetic Resonance Fingerprinting (MRF)

Dan Ma¹, Eric Y. Pierre², Debra McGivney¹, Bhairav Mehta¹, Yong Chen¹, Yun Jiang¹, and Mark Griswold¹

¹Radiology, Case Western Reserve University, Cleveland, OH, United States, ²The Florey Institute of Neuroscience and Mental Health, Melbourne, Australia

The goal of this study is to accelerate the acquisition time of 3D magnetic resonance fingerprinting (MRF) using a low-rank model-based method kt-SVD-MRF. With a total factor of 144 acceleration rate, 3D T1, T2 and proton density (M0) maps can be acquired from a whole brain scan with a resolution of 1.17x1.17x3 mm3 in 2.7 minutes.

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