Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
606-01-010 ISMRM Abstract

Task-based fMRI at 11.7T: Assessing Feasibility, Stability, and Reliability on the Iseult Scanner

Primary: Brain Function and fMRI - Task/Intervention Based fMRI
Secondary: Physics & Engineering - High-Field MRI
606-01-010 · Ultra-High Field Applications · Thursday, 14 May, 8:30 AM–10:20 AM · Auditorium 2
Keywords: fMRI (task based) Motion Correction 3D-EPI 11.7T Ultra high field MRI
Accepted
Zaineb Amor 1,2, Joseph Obriot3, Matthias Serger4, Malte Riedel5, Klaas P Prüssmann5, Son Chu6, Shajan Gunamony6, Rüdiger Stirnberg4, Philipp Ehses4, Tony Stoecker4, Florent Meyniel1,2, Alexis S Amadon3, Alexandre Vignaud3, Vincent Gras3, Franck Mauconduit3, Caroline LeSter3, Nicolas Boulant3
1Institute for Neuromodulation, Paris, France
2Cognitive Neuroimaging Unit, Gif-sur-Yvette, France
3Université Paris-Saclay, CEA, CNRS, BAOBAB, Neurospin, Gif-sur-Yvette, France
4MR Physics, Bonn, Germany
5Institute for Biomedical Engineering, Zurich, Switzerland
6Imaging Center of Excellence, Glasgow, United Kingdom
Presenting Author: Zaineb Amor

Synopsis

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References

1. Ivanov, D. et al, “Magnetic resonance imaging at 9.4T: The Maastricht journey,” Magnetic Resonance Materials in Physics, Biology and Medicine, vol. 36, pp. 159–173, 2023. DOI: https://doi.org/10.1007/s10334-023-01080-4. [doi]
2. Sadeghi-Tarakameh, A. et al, “In vivo human head MRI at 10.5T: A radiofrequency safety study and preliminary imaging results,” Magnetic Resonance in Medecine, vol. 84, no. 1, pp. 484-496, 2019. DOI: 10.1002/mrm.28093. [doi]
3. Vedrine, P. et al, “Manufacturing of the Iseult/INUMAC Whole Body 11.7 T MRI Magnet,” IEEE Transactions on Applied Superconductivity, vol. 24, no. 3, pp. 1–6, 2014. DOI: 10.1109/TASC.2013.2286256. [doi]
4. Quettier, L. et al, “Progress Toward Medical Use of the Iseult Whole Body 11.7 T MRI: First Images,” IEEE Transactions on Applied Superconductivity, vol. 33, no. 5, pp. 1–7, 2023. DOI: 10.1109/TASC.2023.3244117. [doi]
5. Pohmann, R. et al, “Signal-to-noise ratio and MR tissue parameters in human brain imaging at 3, 7, and 9.4 Tesla using current receive coil arrays,” Magnetic Resonance in Medicine, vol. 75,no. 2, pp. 801–809, 2016. DOI: 10.1002/mrm.25677. [doi]
6. Le Ster, C. et al, “Magnetic field strength dependent SNR gain at the center of a spherical phantom and up to 11.7T,” Magnetic Resonance in Medicine, vol. 88, Jul. 2022. DOI: 10.1002/mrm.29391. [doi]
7. Duyn, J.H., “The future of ultra-high field MRI and fMRI for study of the human brain.,” NeuroImage, vol. 62, no. 2, pp. 1241–1248, 2012. DOI: 10.1016/j.neuroimage.2011.10.065. [doi]
8. Ogawa, S. et al, “Brain magnetic resonance imaging with contrast dependent on blood oxygenation,” Proceedings of the National Academy of Sciences of the United States of America, vol. 87, no. 24, pp. 9868–9872, 1990. DOI: 10.1073/pnas.87.24.9868. [doi]
9. Gati, J.S. et al, “Experimental Determination of the BOLD Field Strength Dependence in Vessels and Tissue,” Magnetic Resonance in Medecine, vol. 38, no. 2, pp. 296–302, 1997. DOI: https://doi.org/10.1002/mrm.1910380220. [doi]
10. Boumezbeur, F. et al, “First neuroimaging experience at 11.7 Tesla on the anaesthetized non-human primate.,” in Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), 2023.
11. Boulant, N. et al, “In vivo imaging of the human brain with the Iseult 11.7T MRI scanner,” Nature Methods, vol. 21, pp. 2013–2016, 2024. DOI: https://doi.org/10.1038/s41592-024-02472-7. [doi]
12. Djaballah, E. et al, “Ultra-high-resolution imaging of NHP head at 11.7T with a 32-channel honeycomb modular receive array,” in Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), 2025.
13. Pinel, P. et al, “Fast reproducible identification and large-scale databasing of individual functional cognitive networks,” BioMed Central Neuroscience, vol. 8, no. 91, pp. 2013–2016, 2007. DOI: https://doi.org/10.1186/1471-2202-8-91. [doi]
14. Le Ster, C. et al, “Comparison of SMS-EPI and 3D-EPI at 7T in an fMRI localizer study with matched spatiotemporal resolution and homogenized excitation profiles,” PLoSONE, vol. 14, no. 11, e0225286, 2019. DOI: 10.1371/journal.pone.0225286. [doi]
15. Chu, S. et al, “An 8-Channel Transmit Array in Combination with a 31-Channel Receive Array for Human Brain Imaging at 11.7T,” Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), p. 1415, 2024.
16. Closs, M.A. et al, “kT-points: Short three-dimensional tailored RF pulses for flip-angle homogenization over an extended volume,” Magnetic Resonance in Medicine, vol. 67, no. 1, pp. 72–80, 2012.
17. Ulrich, T. et al, “Servo navigators: Linear regression and feedback control for rigid-body motion correction,” in Magnetic Resonance in Medicine, vol. 91, 2023, pp. 1876–1892. DOI: https://doi.org/10.1002/mrm.29967. [doi]
18. Riedel, M. et al. "Servo navigation and phase equalization enhanced by runtime stabilization (PEERS) for 3D EPI time series". ArXiv 250503637. 2025. DOI: https://arxiv.org/abs/2505.03637
19. Gallichan, D. et al, “Retrospective correction of involuntary microscopic head movement using highly accelerated fat image navigators (3D FatNavs) at 7T,” Magnetic Resonance in Medicine, vol. 75, pp. 1030–1039, 2016. DOI: https://doi.org/10.1002/mrm.25670 [doi]
20. https://github.com/neurospin-stim/localizer_standard
21. Stirnberg, R. et al, "Segmented K-space blipped-controlled aliasing in parallel imaging for high spatiotemporal resolution EPI," Magnetic Resonance in Medicine, vol. 85, no.3 pp. 1540-1551, 2021. DOI: https://doi.org/10.1002/mrm.28486. [doi]
22. Esteban, O. et al, "fMRIPrep: a robust preprocessing pipeline for functional MRI," Nature Methods, vol. 16, pp. 111-1116, 2019. DOI: https://doi.org/10.1038/s41592-018-0235-4. [doi]

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http://echo.ismrm.org/p/ISMRM2026/606-01-010