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Abstract #4408

Fast multiparametric imaging in the brain using a stationary balanced steady state cartesian approach

Christian Guenthner1, Sebastian Kozerke1, and Mathieu Sarracanie1,2,3

1Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland, 2AMT Lab, Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland, 3MIAC AG, Basel, Switzerland

We propose a multiparametric balanced steady-state 3D Cartesian sequence that exploits model based and pattern matching reconstruction strategies for a series of 20 flip angles and repetition times, allowing for the simultaneous quantification of B0, B1+, T1, T2, and proton density. Time-varying signal patterns at the steady state are reached that allow for the acquisition of unique signal patterns in each image voxel for any acquisition scheme. We show the feasibility of our technique in-vivo in the human brain in 11 minutes, here with Cartesian acquisition and no acceleration strategies.

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