Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
368-06-010 ISMRM Abstract

Industrial Prototype of a bilateral local breast gradient coil for diffusion encoding and supersonic readout

Primary: Physics & Engineering - Gradients
Secondary: Physics & Engineering - New Devices
368-06-010 · Novel Gradients · Monday, 11 May, 5:05 PM–6:00 PM · Digital Posters Row I
Keywords: Hybrid & Novel Systems Technology Diffusion-weighted MRI Breast MRI Local Gradient Coils Peripheral Nerve Stimulation
Accepted
Sebastian Littin 1, Feng Jia1, Wout Schuth2,3, Matthias Wienke2,3, Martino Borgo2,3, Gerrit C Arends4,5,6, Edwin Versteeg4,7,8,9,10, Dennis Klomp4,11,12, Maxim Zaitsev1, Chantal Tax5,13
1University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
2Futura composites, Heerhugowaard, Netherlands
3Futura Composites BV, Heerhugowaard, Netherlands
4University Medical Center Utrecht, Utrecht, Netherlands
5Center for Image Sciences, University Medical Center Utrecht, Utrecht, Netherlands
6UMC Utrecht, Utrecht, Netherlands
7Computational Imaging Group for MRI Therapy & Diagnostics, Department of Radiotherapy, UMC Utrecht, Utrecht, Netherlands
8Computational Imaging Group for MR Therapy and Diagnostics, University Medical Center Utrecht, Utrecht, Netherlands
9Computational Imaging Group for MRI Therapy & Diagnostics, Center of Image Sciences, University Medical Center Utrecht, Utrecht, Netherlands
10Computational Imaging Group for MRI Therapy & Diagnostics, Department of Radiotherapy, University Medical Center Utrecht, Utrecht, Netherlands
11Precision Imaging Group, Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands
12Department of Radiology, Centre for Image Sciences, UMC Utrecht, Utrecht, Netherlands
13Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, United Kingdom
Presenting Author: Sebastian Littin

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References

1. Baltzer, P., Mann, R.M., Iima, M. et al. Diffusion-weighted imaging of the breast—a consensus and mission statement from the EUSOBI International Breast Diffusion-Weighted Imaging working group. Eur Radiol 30, 1436–1450 (2020). https://doi.org/10.1007/s00330-019-06510-3 [doi]
2. Yao F.-F., Zhang Y. (2023). A review of quantitative diffusion-weighted MR imaging for breast cancer: Towards noninvasive biomarker. Clinical Imaging, 98, 150-160. https://doi.org/10.1016/j.clinimag.2023.03.016 [doi]
3. Honda, M., Kataoka, M., Iima, M. et al. Ultrafast MRI and diffusion-weighted imaging: a review of morphological evaluation and image quality in breast MRI. Jpn J Radiol 43, 1761–1777 (2025). https://doi.org/10.1007/s11604-025-01826-1 [doi]
4. Huang, S. et. al. (2021) Connectome 2.0: Developing the next-generation ultra-high gradient strength human MRI scanner for bridging studies of the micro-, meso- and macro-connectome. Neuroimage 2021 Nov:243:118530. https://doi.org/10.1016/j.neuroimage.2021.118530 [doi]
5. Davids M, Dietz P, Ruyters G, et al. Peripheral nerve stimulation informed design of a high-performance asymmetric head gradient coil. Magn Reson Med. 2023; 90: 784-801. doi: 10.1002/mrm.29668 [doi]
6. GC Arends et al, Bilateral breast gradient insert prototype for strong diffusion encoding at 3T, Proc. Intl. Soc. Mag. Reson. Med., (2025) Honolulu, USA, 2025;1339.
7. Versteeg E, Klomp DWJ, Siero JCW. Accelerating Brain Imaging Using a Silent Spatial Encoding Axis. Magn Reson Med. 2022; 88: 1785-1793. doi:10.1002/mrm.29350 [doi]
8. F. Jia, P. Amrein, M. Zaitsev and S. Littin, Design of a nonlinear human-breast gradient coil with controllable gradient variation, Proc. Intl. Soc. Mag. Reson. Med., (2024), p. 4890.
9. Jia, F., Endt, A.v., Amrein, P. et al. Initial assessment of PNS safety for interventionalists during image-guided procedures. Magn Reson Mater Phy 38, 239–251 (2025). https://doi.org/10.1007/s10334-025-01228-4 [doi]
10. Davids, M., Guérin, B., Malzacher, M. et al. Predicting Magnetostimulation Thresholds in the Peripheral Nervous System using Realistic Body Models. Sci Rep 7, 5316 (2017). https://doi.org/10.1038/s41598-017-05493-9 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/368-06-010