ArticleMagnetic resonance in medicine2020
Time optimal control-based RF pulse design under gradient imperfections.
Article in Magnetic resonance in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Optimal control of spin systems.Science advances · 2026Review
- Large gains in SNR through the application of Shinnar-Le Roux RF pulse design to short-TR spin-echo fMRI acquisitions at 7 T.Magnetic resonance imaging · 2026Article
- Contrast-optimal simultaneous multi-slice bSSFP cine cardiac imaging at 0.55 T.Magnetic resonance in medicine · 2023Article
- Advanced design of MRI inversion pulses for inhomogeneous field conditions by optimal control.NMR in biomedicine · 2022Article
- Efficient gradient waveform measurements with variable-prephasing.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2021Article
- Time optimal control-based RF pulse design under gradient imperfections.Magnetic resonance in medicine · 2020Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThis study incorporates a gradient system imperfection model into an optimal control framework for radio frequency (RF) pulse design. THEORY AND
methodsThe joint design of minimum-time RF and slice selective gradient shapes is posed as an optimal control problem. Hardware limitations such as maximal amplitudes for RF and slice selective gradient or its slew rate are included as hard constraints to assure practical applicability of the optimized waveforms. In order to guarantee the performance of the optimized waveform with possible gradient system disturbances such as limited system bandwidth and eddy currents, a measured gradient impulse response function (GIRF) for a specific system is integrated into the optimization.
resultsThe method generates optimized RF and pre-distorted slice selective gradient shapes for refocusing that are able to fully compensate the modeled imperfections of the gradient system under investigation. The results nearly regenerate the optimal results of an idealized gradient system. The numerical Bloch simulations are validated by phantom and in-vivo experiments on 2 3T scanners.
conclusionsThe presented design approach demonstrates the successful correction of gradient system imperfections within an optimal control framework for RF pulse design.
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