Efficient performance analysis and optimization of transient-state sequences for multiparametric magnetic resonance imaging

Miha Fuderer*, Oscar van der Heide, Hongyan Liu, C A T van den Berg, Alessandro Sbrizzi

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

In transient-state multiparametric MRI sequences such as Magnetic Resonance Spin TomogrAphy in Time-domain (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. In the current study, we present a methodology, called BLock Analysis of a K-space-domain Jacobian (BLAKJac), which 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 are more reliable in terms of actually achieved precision than conventional single-voxel–optimized sequences. In addition, BLAKJac provides analytical tools that give insights into the performance of the sequence in a very limited computation time. Our experiments are based on MR-STAT, but the theory is equally valid for other transient-state multiparametric methods.

Original languageEnglish
Article numbere4864
Pages (from-to)1-18
JournalNMR in Biomedicine
Volume36
Issue number3
DOIs
Publication statusPublished - Mar 2023

Keywords

  • evaluation and performance
  • magnetic resonance imaging
  • optimizationquantification and estimation

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