The Ritz adjoint method for optimization of arbitrary waveform excitation pulses: Demonstration in slice-selective parallel transmission

Motivation: Optimization of arbitrary RF and gradient waveforms provides considerable degrees-of-freedom to mitigate excitation inhomogeneity at 7 T; however, waveform optimization is a computationally difficult non-convex optimization problem. Goal(s): We introduce an arbitrary waveform pulse optimization method to enable real-time (~3 min) tailored slice-selective pulse optimization. Approach: We employ the Ritz adjoint method to efficiently calculate the optimization gradients to optimize waveforms parameterized by global polynomials, while respecting SAR and system constraints. Results: A 3.5 ms slice-selective, tailored parallel transmission pulse can be designed in 3 minutes with in-plane NRMSE 50% better than an optimized 3-spoke design. Impact: The Ritz adjoint method efficiently optimized arbitrary waveform universal and tailored parallel transmission slice-selective pulses that respect SAR constraints and system limitations while correcting the flip angle inhomogeneities for high-field excitations.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/4416
Citations
1
Primary Topic
Gyrotron and Vacuum Electronics Research
Type
article
Field-Weighted Citation Impact
1.25
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article

The Ritz adjoint method for optimization of arbitrary waveform excitation pulses: Demonstration in slice-selective parallel transmission

Lawrence L. Wald, Nicolas Arango, Georgy Guryev, Bastien Guérin et al.
1 citations
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Gyrotron and Vacuum Electronics Research
1.25
article

The Ritz adjoint method for optimization of arbitrary waveform excitation pulses: Demonstration in slice-selective parallel transmission

Lawrence L. Wald, Nicolas Arango, Georgy Guryev, Bastien Guérin, John Drago
article en
1 citations

Abstract

Motivation: Optimization of arbitrary RF and gradient waveforms provides considerable degrees-of-freedom to mitigate excitation inhomogeneity at 7 T; however, waveform optimization is a computationally difficult non-convex optimization problem. Goal(s): We introduce an arbitrary waveform pulse optimization method to enable real-time (~3 min) tailored slice-selective pulse optimization. Approach: We employ the Ritz adjoint method to efficiently calculate the optimization gradients to optimize waveforms parameterized by global polynomials, while respecting SAR and system constraints. Results: A 3.5 ms slice-selective, tailored parallel transmission pulse can be designed in 3 minutes with in-plane NRMSE 50% better than an optimized 3-spoke design. Impact: The Ritz adjoint method efficiently optimized arbitrary waveform universal and tailored parallel transmission slice-selective pulses that respect SAR constraints and system limitations while correcting the flip angle inhomogeneities for high-field excitations.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 17%
Gyrotron and Vacuum Electronics Research
1.25
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The Ritz adjoint method for optimization of arbitrary waveform excitation pulses: Demonstration in slice-selective parallel transmission — Lawrence L. Wald, Nicolas Arango, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2025) | TGRS Research Map | TGRS