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Abstract #2786

Non-steady-state sequences for multi-parametric MRI need to be evaluated in the context of gradient-encoding

Miha Fuderer1,2, Oscar van der Heide1, Hongyan Liu1, Cornelis A.T. van den Berg1, and Alessandro Sbrizzi1
1Computational Imaging Group for MR Diagnostics and Therapy, Center for Image Sciences, University Medical Center Utrecht, Utrecht, Netherlands, 2Department of Radiology, Division of Imaging and Oncology, University Medical Center Utrecht, Utrecht, Netherlands


In non-steady-state multi-parametric quantitative MRI (e.g. MR-STAT or MR Fingerprinting (MRF)), it is a non-trivial task to devise good sequences of time-varying flip angles. Recent work addresses this issue, albeit assuming a single-voxel approach, i.e. the k-space encoding is not taken into account when optimizing. In this work we show, using examples from MR-STAT reconstructions and using a Cramer-Rao based BLAKJac analysis, that two apparently similar sequences can have vastly different outcomes when applied in an actual (2-dimensional) measurement setup - showing that the context of encoding is very relevant.

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