Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
567-01-002 ISMRM Abstract

Accelerated Functional MRI with Helical-Cone Zero-TE Encoding: Comparison across Human Tasks

Primary: Brain Function and fMRI - fMRI Acquisition
Secondary: Acquisition & Reconstruction - Pulse Sequence Design: Neuro
567-01-002 · Acquisitions for fMRI · Wednesday, 13 May, 8:20 AM–9:15 AM · Digital Posters Row H
Keywords: fMRI Acquisition Zero TE Zero TE fMRI Zero-echo time neuroimaging Fast fMRI
Accepted
Shuai Liu1, uzay emir2,3,4, Yen-Yu Ian Shih4,5, Serhat Ilbey1, Nan Yin1, Michael Bock 1, Ali C Özen1
1University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
2Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, United States of America
3Lampe Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, United States of America
4Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, United States of America
5Department of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, United States of America
Presenting Author: Michael Bock

Synopsis

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References

1. Ogawa S, Menon RS, Tank DW, et al. Functional brain mapping by blood oxygenation level-dependent contrast magnetic resonance imaging. A comparison of signal characteristics with a biophysical model. Biophysical journal. 1993;64(3):803-812. doi: 10.1016/S0006-3495(93)81441-3 [doi]
2. Kwong KK, Belliveau JW, Chesler DA, et al. Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation. Proceedings of the National Academy of Sciences. 1992;89(12):5675-5679. doi: 10.1073/pnas.89.12.5675 [doi]
3. Bandettini PA, Wong EC, Hinks RS, Tikofsky RS, Hyde JS. Time course EPI of human brain function during task activation. Magnetic resonance in medicine. 1992;25(2):390-397. doi: 10.1002/mrm.1910250220 [doi]
4. Mansfield P. Multi-planar image formation using NMR spin echoes. J Phys C: Solid State Phys. 1977;10(3):L55-L58. doi:10.1088/0022-3719/10/3/004 [doi]
5. Logothetis NK. The neural basis of the blood–oxygen–level–dependent functional magnetic resonance imaging signal. Philosophical Transactions of the Royal Society of London Series B: Biological Sciences. 2002;357(1424):1003-1037. PMID: 12217171 [pmid]
6. Lauer AM, El‐Sharkawy AMM, Kraitchman DL, Edelstein WA. MRI acoustic noise can harm experimental and companion animals. Journal of Magnetic Resonance Imaging. 2012;36(3):743-747. doi: 10.1002/jmri.23653 [doi]
7. Madio DP, Lowe IJ. Ultra‐fast imaging using low flip angles and fids. Magnetic Resonance in Med. 1995;34(4):525-529. doi:10.1002/mrm.1910340407 [doi]
8. Weiger M, Pruessmann KP, Hennel F. MRI with zero echo time: Hard versus sweep pulse excitation. Magnetic Resonance in Med. 2011;66(2):379-389. doi:10.1002/mrm.22799 [doi]
9. Idiyatullin D, Corum CA, Garwood M. Multi-Band-SWIFT. Journal of Magnetic Resonance. 2015;251:19-25. doi:https://doi.org/10.1016/j.jmr.2014.11.014 [doi]
10. Robson MD, Gatehouse PD, Bydder M, Bydder GM. Magnetic resonance: an introduction to ultrashort TE (UTE) imaging. Journal of computer assisted tomography. 2003;27(6):825-846. PMID: 14600447 [pmid]
11. Grodzki DM, Jakob PM, Heismann B. Ultrashort echo time imaging using pointwise encoding time reduction with radial acquisition (PETRA). Magnetic Resonance in Med. 2012;67(2):510-518. doi:10.1002/mrm.23017 [doi]
12. Suryan G. Nuclear resonance in flowing liquids. In: Proceedings of the Indian Academy of Sciences-Section A. Vol 33. Springer; 1951:107. https://doi.org/10.1007/BF03172192 [doi]
13. Gao JH, Holland SK, Gore JC. Nuclear magnetic resonance signal from flowing nuclei in rapid imaging using gradient echoes. Medical physics. 1988;15(6):809-814. doi: 10.1118/1.596197 [doi]
14. Mackinnon MJ, Song S, Chao THH, et al. SORDINO for Silent, Sensitive, Specific, and Artifact-Resisting fMRI in awake behaving mice. March 2025. doi:10.1101/2025.03.10.642406 [doi]
15. Özen AC, Liu S, Ilbey S, Bock M, Emir U, Shih YYI. Zero Echo Time Functional MRI in Humans. arXiv preprint arXiv:250219146. 2025. https://doi.org/10.48550/arXiv.2502.19146 [doi]
16. Mangia S, Michaeli S, Gröhn O. Outlook on zero/ultrashort echo time techniques in functional MRI. Magnetic resonance in medicine. 2025. doi: 10.1002/mrm.70065 [doi]
17. Liu S, Nikolas W, Ilbey S, Bock M, Özen AC. Ultra-fast radial encoding with oscillating gradients: Potential of a high performance ultrasound gradient insert. In: Proc. Intl. Soc. Mag. Reson. Med. Annual Meeting. 3288. ; 2024:3288.
18. Ilbey S, Jung M, Emir U, Bock M, Özen AC. Characterizing Off-center MRI with ZTE. Zeitschrift für Medizinische Physik. 2024;34(3):446-455. doi:10.1016/j.zemedi.2022.09.002 [doi]
19. Ilbey S, Jungmann PM, Fischer J, Jung M, Bock M, Özen AC. Single point imaging with radial acquisition and compressed sensing. Magnetic resonance in medicine. 2022;87(6):2685-2696. https://doi.org/10.1002/mrm.29156 [doi]
20. Foo TK, Bernstein MA, Aisen AM, Hernandez RJ, Collick BD, Bernstein T. Improved ejection fraction and flow velocity estimates with use of view sharing and uniform repetition time excitation with fast cardiac techniques. Radiology. 1995;195(2):471-478. doi:10.1148/radiology.195.2.7724769 [doi]
21. Markl M, Hennig J. Phase contrast MRI with improved temporal resolution by view sharing: k-space related velocity mapping properties. Magnetic Resonance Imaging. 2001;19(5):669-676. doi:10.1016/S0730-725X(01)00386-1 [doi]
22. Piccini D, Littmann A, Nielles‐Vallespin S, Zenge MO. Spiral phyllotaxis: the natural way to construct a 3D radial trajectory in MRI. Magnetic resonance in medicine. 2011;66(4):1049-1056. https://doi.org/10.1002/mrm.22898 [doi]
23. Mazziotta JC, Toga AW, Evans A, Fox P, Lancaster J. A Probabilistic Atlas of the Human Brain: Theory and Rationale for Its Development: The International Consortium for Brain Mapping (ICBM). NeuroImage. 1995;2(2):89-101. https://doi.org/10.1006/nimg.1995.1012 [doi]
24. Collins D, Neelin P, Peters T, Evans A. Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space. J Comput Assist Tomogr. 1994;18(2):192-205. doi:PMID: 8126267 [pmid]
25. Mazziotta J, Toga A, Evans A, et al. A probabilistic atlas and reference system for the human brain: International Consortium for Brain Mapping (ICBM). Kötter R, ed. Phil Trans R Soc Lond B. 2001;356(1412):1293-1322. doi:10.1098/rstb.2001.0915 [doi]
26. Jenkinson M, Beckmann CF, Behrens TEJ, Woolrich MW, Smith SM. FSL. NeuroImage. 2012;62(2):782-790. doi:10.1016/j.neuroimage.2011.09.015 [doi]
27. Lemon RN. Descending pathways in motor control. Annu Rev Neurosci. 2008;31(1):195-218. https://doi.org/10.1146/annurev.neuro.31.060407.125547 [doi]

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http://echo.ismrm.org/p/ISMRM2026/567-01-002