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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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