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Abstract #1348

3D MR-STAT: towards a fast multi-parametric protocol with increased SNR

Hongyan Liu1, Oscar van den Heide1, Miha Fuderer1, Cornelis A.T. van den Berg1, and Alessandro Sbrizzi1
1Computational Imaging Group for MR diagnostics & therapy, Center for Image Sciences, UMC Utrecht, Utrecht, Netherlands


MR-STAT is a framework for simultaneous mapping of quantitative MR parameters from single short scans. In this work, we extend the current 2D Cartesian MR-STAT sequence to 3D acquisitions, in order to achieve higher SNR and isotropic resolution with a scan lasting few minutes. In particular, we implement a prototype 3D MR-STAT sequence for whole brain coverage with isotropic resolution, and test it on gel phantom and in-vivo brain data. Acceleration strategy of the 3D sequence is proposed, and the corresponding retrospective undersampling of the measured in-vivo data is reconstructed.

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