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Abstract #1104

Quantitative Magnetization Transfer Imaging in the Hybrid State

Jakob Assländer1,2 and Daniel K Sodickson1,2

1Center for Biomedical Imaging, Dept. of Radiology, New York University School of Medicine, New York, NY, United States, 2Center for Advanced Imaging Innovation and Research, New York University School of Medicine, New York, NY, United States

This work extends the hybrid-state model, recently introduced to explain and optimize the dynamics of complex non-steady-state pulse sequences such as MR Fingerprinting, to magnetization transfer. We numerically optimize a hybrid-state pulse sequence for SNR efficiency and demonstrate the potential of the extended hybrid-state framework for quantification of MT effects in vivo in the human brain. Our preliminary results show good agreement with literature and demonstrate the feasibility of quantifying the fractional semi-solid pool size, as well as T1 and T2 relaxation times of the free pool, in under 10 minutes.

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