Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
552-01-009 / 552-01-009 ISMRM Abstract

Linear-combination modeling of long echo-time MRSI with maximum-echo readout for SNR-efficient metabolic imaging

Accepted
Helge J Zöllner 1, Dunja Simicic1, Georg Oeltzschner1, Peter B Barker1,2
1The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, United States of America
2F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, United States of America
Presenting Author: Helge J Zöllner

Synopsis

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References

1. Maudsley AA, Andronesi OC, Barker PB, et al. Advanced magnetic resonance spectroscopic neuroimaging: Experts’ consensus recommendations. NMR Biomed. April 2020:e4309. doi:10.1002/nbm.4309 [doi]
2. Maudsley AA, Domenig C, Govind V, et al. Mapping of brain metabolite distributions by volumetric proton MR spectroscopic imaging (MRSI). Magn Reson Med. 2009;61(3):548-559. doi:10.1002/mrm.21875 [doi]
3. Provencher SW. Automatic quantitation of localized in vivo 1H spectra with LCModel. NMR Biomed. 2001;14(4):260-264. doi:10.1002/nbm.698 [doi]
4. Duyn JH, Gillen J, Sobering G, van Zijl PC, Moonen CT. Multisection proton MR spectroscopic imaging of the brain. Radiology. 1993;188(1):277-282. doi:10.1148/radiology.188.1.8511313 [doi]
5. Zhu H, Ouwerkerk R, Barker PB. Dual-band water and lipid suppression for MR spectroscopic imaging at 3 Tesla. Magn Reson Med. 2010;63(6):1486-1492. doi:10.1002/mrm.22324 [doi]
6. Oeltzschner G, Zöllner HJ, Hui SCN, et al. Osprey: Open-source processing, reconstruction & estimation of magnetic resonance spectroscopy data. J Neurosci Methods. 2020;343:108827. doi:10.1016/j.jneumeth.2020.108827 [doi]
7. Lin L, Považan M, Berrington A, Chen Z, Barker PB. Water removal in MR spectroscopic imaging with L2 regularization. Magn Reson Med. 2019;82(4):1278-1287. doi:10.1002/mrm.27824 [doi]
8. Friston K. Statistical Parametric Mapping: The Analysis of Functional Brain Images. Academic Press; 2007. http://books.google.com/books?id=KZZcLqkxhFIC%5Cnpapers://8fdc0079-0571-40b9-b7fa-84608563a121/Paper/p10618.
9. Zöllner HJ, Davies-Jenkins C, Simicic D, Tal A, Sulam J, Oeltzschner G. Simultaneous multi-transient linear-combination modeling of MRS data improves uncertainty estimation. Magn Reson Med. 2024;92(3):916-925. doi:10.1002/mrm.30110 [doi]
10. Simicic D, Zöllner HJ, Davies-Jenkins CW, Hupfeld KE, Edden RAE, Oeltzschner G. Model-based frequency-and-phase correction of H MRS data with 2D linear-combination modeling. Magn Reson Med. 2024;92(5):2222-2236. doi:10.1002/mrm.30209 [doi]
11. Nosrati R, Balasubramanian M, Mulkern R. Measuring transverse relaxation rates of the major brain metabolites from single-voxel PRESS acquisitions at a single TE. Magn Reson Med. 2021;85(6):2965-2977. doi:10.1002/mrm.28644 [doi]
12. Rizzo R, Stamatelatou A, Heerschap A, Scheenen T, Kreis R. Simultaneous Concentration and T2 Mapping of Brain Metabolites by Fast Multi-Echo Spectroscopic Imaging. NMR Biomed. 2025;38(2):e5318. doi:10.1002/nbm.5318 [doi]
13. Rizzo R, Kreis R. Multi-echo single-shot spectroscopy combined with simultaneous 2D model fitting for fast and accurate measurement of metabolite-specific concentrations and T2 relaxation times. NMR Biomed. 2023;36(12):e5016. doi:10.1002/nbm.5016 [doi]

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