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Efficient performance analysis and optimization of transient-state sequences for multi-parametric MRI

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posted on 21.04.2022, 20:30 by Miha FudererMiha Fuderer
In transient-state multi-parametric MRI sequences such as MR-STAT, MR Fingerprinting, or Hybrid-state imaging, the flip angle pattern of the RF excitation varies over the sequence. This gives considerable freedom to choose an optimal pattern of flip angles. For pragmatic reasons, most optimization methodologies choose for a single-voxel approach, i.e. without taking the spatial encoding scheme into account.
Particularly in MR-STAT, the context of spatial encoding is important. So we present a methodology, called BLAKJac, that is sufficiently fast to optimize a sequence in the context of a predetermined phase-encoding pattern. Based on MR-STAT acquisitions and reconstructions, we show that sequences optimized using BLAKJac lead to better results than conventional single-voxel optimized sequences. In addition, BLAKJac provides analytical tools that give insights in the performance of the sequence at very limited computation time.
Our experiments are based on MR-STAT, but the theory is equally valid for other transient-state multi-parametric methods.

Funding

NWO grant number 17986

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Email Address of Submitting Author

m.fuderer@umcutrecht.nl

ORCID of Submitting Author

0000-0002-5673-915X

Submitting Author's Institution

University Medical Center Utrecht

Submitting Author's Country

Netherlands

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