Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
601-03-007 ISMRM Abstract

Whole-brain GABA and Glx mapping using SLOW and joint LTSA reconstruction at 3T

Primary: Acquisition & Reconstruction - Spectroscopy and spectroscopic imaging
Secondary: Acquisition & Reconstruction - Subsampling: Parallel imaging, compressed sensing and low-rank modeling
601-03-007 · Spectroscopy and Spectroscopic Imaging · Thursday, 14 May, 4:00 PM–5:50 PM · Hall 1A
Keywords: Spectral editing Magnetic resonance spectroscopic imaging
Accepted
Guodong Weng 1,2,3,4, Didi Chi3,4, Paul K Han3,4, Johannes Slotboom1,2, Chao Ma3,4
1Institute for Diagnostic and Interventional Neuroradiology, Inselspital, University of Bern, Switzerland
2Translational Imaging Center (TIC), Sitem-Insel, Bern, Switzerland
3Biomedical Imaging Institute, Yale School of Medicine, New Haven, United States of America
4Department of Radiology & Biomedical Imaging, Yale School of Medicine, New Haven, United States of America
Presenting Author: Guodong Weng

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References

1. Mescher M, Merkle H, Kirsch J, et al. Simultaneous in vivo spectral editing and water suppression. NMR Biomed. 1998;11(6):266–272. doi: 10.1002/(SICI)1099-1492(199810)11:6<266::AID-NBM530>3.0.CO;2-J. [doi]
2. Zhao Y, Li Y, Jin W, et al. Ultrafast J-resolved magnetic resonance spectroscopic imaging for high-resolution metabolic imaging of the brain. Nature Biomedical Engineering. 2025; in press. DOI: 10.1038/s41551-025-01418-4. [doi]
3. Tang L, Zhao Y, Li Y, Guo R, et al. Accelerated J-resolved 1H-MRSI with limited and sparse sampling of (k,t)-space. Magn Reson Med. 2020;85(1):30–41. doi: 10.1002/mrm.28413. [doi]
4. Weng G, Radojewski P, Sheriff S, et al. SLOW: A novel spectral editing method for whole‐brain MRSI at ultra high magnetic field. Magn Reson Med. 2022;88(1):53-70. doi: 10.1002/mrm.29220. [doi]
5. Weng G, Slotboom J, Schucht P, et al. Simultaneous Multi-Region Detection of GABA+ and Glx using 3D Spatially Resolved SLOW-editing and EPSI-readout at 7T. Neuroimage. 2024;286:120511. doi:10.1016/j.neuroimage.2024.120511. [doi]
6. Weng G, Ermiş E, Maragkou T, et al. Accurate prediction of IDH-mutation status of gliomas using SLOW-editing MRSI at 7 Tesla MR. Neurooncol Adv. 2023;5(1):vdad001. doi:10.1093/noajnl/vdad001. [doi]
7. Weng G, Radojewski P, Slotboom J. α-D-Glucose as a non-radioactive MRS tracer for metabolic studies of the brain. Sci Rep. 2023;13(1):6159. doi: 10.1038/s41598-023-33161-8. [doi]
8. Lam F, Ma C, Clifford B, et al. High-resolution 1H-MRSI of the brain using SPICE: data acquisition and image reconstruction. Magn Reson Med. 2015;76(4):1059-1070. doi: 10.1002/mrm.26019. [doi]
9. Ma C, Lam F, Johnson CL, Liang ZP. Removal of nuisance signals from limited and sparse 1H MRSI data using a union-of-subspaces model. Magn Reson Med. 2015;75(2):488–497. doi: 10.1002/mrm.25635 [doi]
10. Zhao Y, Li Y, Guo R, Jin W, et al. Accelerated 3D metabolite T1 mapping of the brain using variable-flip-angle SPICE. Magn Reson Med. 2024;92(4):1310-1322. doi: 10.1002/mrm.30200. [doi]
11. Ma C, Han PK, Zhuo Y, et al. Joint spectral quantification of MR spectroscopic imaging using linear tangent space alignment‐based manifold learning. Magn Reson Med. 2023;89(4): 1297-1313. doi:/10.1002/mrm.29526.
12. Djebra Y, Marin T, Han PK, et al. Manifold Learning via Linear Tangent Space Alignment (LTSA) for Accelerated Dynamic MRI With Sparse Sampling. IEEE Trans Med Imaging. 2023;42(1):158-169. doi:10.1109/TMI.2022.3207774. [doi]
13. Chi D, Han PK, De Feyter HM, et al. Deuterium Metabolic Imaging Denoising Using a Linear Tangent Space Alignment (LTSA) Model and Performance Analysis. 2025 IEEE 22nd ISBI. doi:10.1109/ISBI60581.2025.10980807 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/601-03-007