ArticleNMR in biomedicine2023
Efficient performance analysis and optimization of transient-state sequences for multiparametric magnetic resonance imaging.
Article in NMR in biomedicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Mapping Neurodegenerative Changes in Clinically Uncertain Parkinsonian Syndrome Patients Using Fast MR Spin TomogrAphy in Time-Domain (MR-STAT) Relaxometry at 3T.Journal of magnetic resonance imaging : JMRI · 2026Article
- RF phase modulation improves quantitative transient state sequences under constrained conditions.Magma (New York, N.Y.) · 2026Article
- Efficient estimation of gadolinium-based contrast agent concentration using transient-state keyhole MR-STAT.Medical physics · 2025Article
- "MR Fingerprinting for Imaging Brain Hemodynamics and Oxygenation".Journal of magnetic resonance imaging : JMRI · 2025Review
- 3D multi-phase balanced non-steady-state free precession acquisition for multi-parameter mapping.Magma (New York, N.Y.) · 2025Article
- Time-efficient, high-resolution 3T whole-brain relaxometry using Cartesian 3D MR Spin TomogrAphy in Time-Domain (MR-STAT) with cerebrospinal fluid suppression.Magnetic resonance in medicine · 2025Article
- Efficient performance analysis and optimization of transient-state sequences for multiparametric magnetic resonance imaging.NMR in biomedicine · 2023Article
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Authors and funding
5 authors.
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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.
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