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Abstract #0882

PSST … Parameter mapping Swift and SilenT

Florian Wiesinger1,2, Emil Ljungberg2, Mathias Engström3, Sandeep Kaushik1, Tobias Wood2, Steven Williams2, Gareth Barker2, and Ana Beatriz Solana1
1GE Healthcare, Munich, Germany, 2King’s College London, London, United Kingdom, 3GE Healthcare, Stockholm, Sweden

Here we describe a new framework for 3D, high-resolution Parameter mapping in a Swift and SilenT manner, termed PSST. The method combines T1 and T2 contrast preparation with segmented, silent, zero TE (ZTE) image encoding and an analytical signal model. Four canonical schemes are presented and demonstrated in phantom and in-vivo brain experiments.

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