466-03-010 Registered Abstract

Simulation of gradient waveforms using a temporal convolutional network for low-field MRI

Primary: Acquisition & Reconstruction - Signal Modeling

Secondary: Physics & Engineering - Low-Field MRI

466-03-010 · Pulse Sequences with a Focus on Quantitative Imaging · Tuesday, 12 May, 1:40 PM–2:35 PM · Digital Posters Row G

Keywords: Simulations Machine Learning/Artificial Intelligence Optimization Gradient non-linearity Ultra-Low-Field MRI

Accepted

Anais Artiges ¹, David Leitão¹, Tom O'Reilly², Andrew Webb³, Shaihan Malik¹

¹Imaging Physics and Engineering, King's College London, London, United Kingdom

²Open Imaging, Netherlands

³C.J. Gorter MRI Center, Leiden University Medical Center, Netherlands

Presenting Author: Anais Artiges

Synopsis

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References

1. Vannesjo, Signe J., et al. "Gradient system characterization by impulse response measurements with a dynamic field camera." Magnetic resonance in medicine 69.2 (2013): 583-593.

2. Campbell‐Washburn, Adrienne E., et al. "Real‐time distortion correction of spiral and echo planar images using the gradient system impulse response function." Magnetic resonance in medicine 75.6 (2016): 2278-2285.

3. Martin, Jonathan B., et al. "Modeling the MRI gradient system with a temporal convolutional network: Improved reconstruction by prediction of readout gradient errors." Magnetic Resonance in Medicine (2025).

4. O’Reilly, Thomas, et al. "In vivo 3D brain and extremity MRI at 50 mT using a permanent magnet Halbach array." Magnetic resonance in medicine 85.1 (2021): 495-505.

5. Rahmer, Jürgen, et al. "Rapid acquisition of the 3D MRI gradient impulse response function using a simple phantom measurement." Magnetic resonance in medicine 82.6 (2019): 2146-2159.

6. LeCun, Yann, et al. "Neural networks: Tricks of the trade." Springer Lecture Notes in Computer Sciences 1524.5-50 (1998): 6.

7. Goora FG, Colpitts BG, Balcom BJ. Arbitrary magnetic field gradient waveform correction using an impulse response based pre-equalization technique. Journal of Magnetic Resonance. 2014 Jan 1;238:70-6.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/466-03-010