451-01-002 / 451-01-002 ISMRM Abstract

Deep learning predicted parallel transmission pulses for a 3D turbo spin echo sequence at 7T

Primary: Physics & Engineering - RF Pulse Design & Fields

Secondary: Physics & Engineering - High-Field MRI

451-01-002 · Parallel Transmission at High Fields · Tuesday, 12 May, 8:20 AM–9:56 AM · Power Pitch Theatre 1

Keywords: 7T Deep learning Ultra high field MRI RF Pulse Design Parallel Transmission (pTx)

Accepted

Sophia Nagelstraßer ¹, Nico Egger¹, Jürgen Herrler², Mads Sloth Vinding³, Patrick Liebig², Michael Uder¹, Armin M NAGEL^1,4

¹Institute of Radiology, University Hospital Erlangen (UKER), Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

²Siemens Healthineers AG, Erlangen, Germany

³Department of Clinical Medicine, Aarhus University, Aarhus, Denmark

⁴Division of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany

Presenting Author: Sophia Nagelstraßer

Synopsis

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References

1. Webb AG, Collins CM. Parallel Transmit and Receive Technology in High-Field Magnetic Resonance Neuroimaging. Int J Imag Syst Tech. 2010; 20:2-13. https://doi.org/10.1002/ima.20219 [doi]

2. Gras V, Mauconduit F, Vignaud A, Amadon A, Le Bihan D, Stöcker T, Boulant N. Design of universal parallel-transmit refocusing kT-point pulses and application to 3D T2-weighted imaging at 7T. Magn Reson Med. 2018; 80: 53-65. https://doi.org/10.1002/mrm.27001 [doi]

3. Jang A, He X, Liu F. Physics-guided self-supervised learning: Demonstration for generalized RF pulse design. Magn Reson Med. 2025; 93: 657-672. https://doi.org/10.1002/mrm.30307 [doi]

4. Vinding MS, Aigner CS, Schmitter S, Lund TE. DeepControl: 2DRF pulses facilitating B1+ inhomogeneity and B0 off-resonance compensation in vivo at 7 T. Magn Reson Med. 2021; 85: 3308–3317. https://doi.org/10.1002/mrm.28667 [doi]

5. Kilic T, Liebig P, Demirel OB, et al. Unsupervised deep learning with convolutional neural networks for static parallel transmit design: A retrospective study. Magn Reson Med. 2024; 91: 2498-2507. https://doi.org/10.1002/mrm.30014 [doi]

6. Bartlett J, et al. Quasi-instantaneous subject-specific slice-by-slice pTx pulse design with Deep Learning: application to 2D diffusion MRI. In: Proceedings of the 33th Annual Meeting of ISMRM, Honolulu, Hawaii, USA Abstract 3443. 2025.

7. Herrler J, Liebig P, Gumbrecht R, et al. Fast online-customized (FOCUS) parallel transmission pulses: A combination of universal pulses and individual optimization. Magn Reson Med. 2021; 85: 3140–3153. https://doi.org/10.1002/mrm.28643 [doi]

8. Majewski K. Simultaneous optimization of radio frequency and gradient waveforms with exact Hessians and slew rate constraints applied to kT-points excitation. J Magn Reson. Med. 2021; 326: 106941. https://doi.org/10.1016/j.jmr.2021.106941 [doi]

9. Guerin B, Drago J, Herrler J, Wald L, Stockmann J. Slice-selective, large flip-angle parallel transmission pulses for brain imaging at 7 Tesla. In: Proceedings of the 33th Annual Meeting of ISMRM, Honolulu, Hawaii, USA Abstract 4420. 2025.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/451-01-002