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Abstract #0213

Silent MRF : Quantitative scan with reduced noise using the Magnetic Resonance Fingerprinting (MRF) framework

Dan Ma1, Bhairav B Mehta1, and Mark A Griswold1

1Radiology, Case Western Reserve University, Cleveland, OH, United States

Because MRF provides a flexible framework without any requirement for constant repetition times or gradient amplitudes, we propose to use arbitrary gradient waveforms and randomized TR times to reduce the acoustic noise, while still providing quantitative 3D T1 and T2 values.

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