Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
567-01-009 ISMRM Abstract

Longitudinal Quality Assurance of a High-Performance Head-Only 7T MRI Scanner: Preliminary Stability Results

Primary: Brain Function and fMRI - fMRI Acquisition
Secondary: Physics & Engineering - Gradients
567-01-009 · Acquisitions for fMRI · Wednesday, 13 May, 8:20 AM–9:15 AM · Digital Posters Row H
Keywords: High-Performance Gradient MRI Quality Assurance High-performance head gradient Stability Analysis 7T BOLD fMRI
Accepted
Yi-Hang Tung1, Astrid Wollrab1, Cindy Lübeck1, Oliver Speck 1,2,3,4,5
1Biomedical Magnetic Resonance, Otto von Guericke University Magdeburg, Magdeburg, Germany
2German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
3Center for Behavioral Brain Sciences (CBBS), Magdeburg, Germany
4Leibniz Institute for Neurobiology (LIN), Magdeburg, Germany
5Otto von Guericke University Magdeburg, Magdeburg, Germany
Presenting Author: Oliver Speck

Synopsis

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References

1. Feinberg DA, Beckett AJS, Vu AT, et al. Next-generation MRI scanner designed for ultra-high-resolution human brain imaging at 7 Tesla. Nat Methods. 2023;20:2048-2057. doi:10.1038/s41592-023-02068-7 [doi]
2. Tung YH, Mattern H, Speck O. Rapid Mesoscopic Resolution DTI with High-Performance 7T. Proc Intl Soc Mag Reson Med. 2025;33:4077. doi:10.58530/2025/4077 [doi]
3. Tung YH, Mattern H, Speck O. High b-value in vivo Whole-brain Diffusion MRI at 7T with a High-performance Gradient System. Proc Intl Soc Mag Reson Med. 2024;32:5103. doi:10.58530/2024/5103 [doi]
4. Tung YH, Speck O. Enhancing microstructural sensitivity in diffusion MRI: A two-step denoising approach for data from a high-performance 7T scanner. ISMRM Workshop on 40 Years of Diffusion: Past, Present & Future Perspectives; Kyoto, Japan. 2025.
5. Triantafyllou C, Hoge RD, Krueger G, Wiggins CJ, Potthast A, Wiggins GC, Wald LL. Comparison of physiological noise at 1.5 T, 3 T and 7 T and optimization of fMRI acquisition parameters. Neuroimage. 2005;26(1):243-250. doi:10.1016/j.neuroimage.2005.01.007 [doi]
6. Jonathan C, Faull OK, Pattinson KT, Jenkinson M. Physiological Noise in Brainstem fMRI. Front Hum Neurosci. 2013;7:623. doi:10.3389/fnhum.2013.00623 [doi]
7. Chen Q, Wehkamp N, Wan C, et al. Automated, open-source, vendor-independent quality assurance protocol based on the Pulseq framework. Magn Reson Mater Phy. 2025;38:533-546. doi:10.1007/s10334-025-01247-1 [doi]
8. CoBrALab. fMRI_phantom_analysis [Internet]. GitHub; Available from: https://github.com/CoBrALab/fMRI_phantom_analysis
9. National Electrical Manufacturers Association. MS1-2008: Determination of signal-to-noise ratio (SNR) in diagnostic magnetic resonance images. Washington, DC: NEMA; 2008.
10. Weisskoff RM. Simple measurement of scanner stability for functional NMR imaging of activation in the brain. Magn Reson Med. 1996;36(4):643-645.

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http://echo.ismrm.org/p/ISMRM2026/567-01-009