Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
362-04-006 ISMRM Abstract

Evidence-based denoising optimization for accurate GABA estimation by 14.1-tesla 13C-MRS

Primary: Analysis Methods - Data Processing
Secondary: Contrast Mechanisms - Spectroscopy
362-04-006 · Spectroscopy and Spectroscopic Imaging: Neuro I · Monday, 11 May, 2:45 PM–3:40 PM · Digital Posters Row C
Keywords: 13C Denoising Gamma-aminobutyric acid Wavelet transform Singular value decomposition
Accepted
Kelley M Swanberg 1,2, Iben Lundgaard1,2, Joao M.N. Duarte1,2
1Medicinska fakulteten, Institutionen för experimentell medicinsk vetenskap, Lund University, Lund, Sweden
2Medicinska fakulteten, Wallenberg Center for Molecular Medicine, Lund University, Lund, Sweden
Presenting Author: Kelley M Swanberg

Synopsis

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References

1. Kreis, R. Issues of spectral quality in clinical 1H-magnetic resonance spectroscopy and a gallery of artifacts. NMR Biomed 17, 361-381 (2004).https://doi.org/10.1002/nbm.891 [doi]
2. Laurent, G., Woelffel, W., Barret-Vivin, V., Gouillart, E. & Bonhomme, C. Denoising applied to spectroscopies - part I: concept and limits. Appl Spectrosc Rev 54, 602-630 (2019). https://doi.org/10.1080/05704928.2018.1523183 [doi]
3. Altenhof, A. R., Mason, H. & Schurko, R. W. DESPERATE: A Python library for processing and denoising NMR spectra. J Magn Reson 346, 107320 (2023). https://doi.org/10.1016/j.jmr.2022.107320 [doi]
4. Duarte, J. M. & Gruetter, R. Glutamatergic and GABAergic energy metabolism measured in the rat brain by (13) C NMR spectroscopy at 14.1 T. J Neurochem 126, 579-590 (2013). https://doi.org/10.1111/jnc.12333 [doi]
5. Near, J., Harris, A. D., Juchem, C., Kreis, R., Marjańska, M., Öz, G., Slotboom, J., Wilson, M. & Gasparovic, C. Preprocessing, analysis and quantification in single-voxel magnetic resonance spectroscopy: experts' consensus recommendations. NMR Biomed 34, e4257 (2021). https://doi.org/10.1002/nbm.4257 [doi]
6. Girault, F.M., Sonnay, S., Gruetter, R., & Duarte, J. M. Alterations of brain energy metabolism in type 2 diabetic Goto-Kakizaki rats measured in vivoby 13C Magnetic Resonance Spectroscopy. Neurotoxicity Research 36, 268-278 (2019). https://doi.org/10.1007/s12640-017-9821-y [doi]
7. Gruetter, R. Automatic, localized in vivo adjustment of all first- and second-order shim coils. Magn Reson Med 29, 804-811 (1993). https://doi.org/10.1002/mrm.1910290613 [doi]
8. Gruetter, R. & Tkác, I. Field mapping without reference scan using asymmetric echo-planar techniques. Magn Reson Med 43, 319-323 (2000). https://doi.org/10.1002/(sici)1522-2594(200002)43:2<319::aid-mrm22>3.0.co;2-1 [doi]
9. Henry, P. G., Tkác, I. & Gruetter, R. 1H-localized broadband 13C NMR spectroscopy of the rat brain in vivo at 9.4 T. Magn Reson Med 50, 684-692 (2003). https://doi.org/10.1002/mrm.10601 [doi]
10. Gajdošík, M., Landheer, K., Swanberg, K. M. & Juchem, C. INSPECTOR: free software for magnetic resonance spectroscopy data inspection, processing, simulation and analysis. Sci Rep 11, 2094 (2021). https://doi.org/10.1038/s41598-021-81193-9 [doi]
11. Campos, L., Swanberg, K. M., Gajdošík, M., Landheer, K. & Juchem, C. Improvements in precision and accuracy of complex- relative to real-domain linear combination model spectral fitting not necessarily recovered by zero filling. NMR Biomed, e5236 (2024). https://doi.org/10.1002/nbm.5236 [doi]
12. Provencher, S. W. Estimation of metabolite concentrations from localized in vivo proton NMR spectra. Magn Reson Med 30, 672-679 (1993). https://doi.org/10.1002/mrm.1910300604 [doi]
13. Chen, X. C., Litvinov, Y. A., Wang, M., Wang, Q. & Zhang, Y. H. Denoising scheme based on singular-value decomposition for one-dimensional spectra and its application in precision storage-ring mass spectrometry. Phys Rev E 99, 063320 (2019). https://doi.org/10.1103/PhysRevE.99.063320 [doi]
14. Swanberg, K. M. Batch LCModel Analysis Toolkit. v. 2.0. Source code. https://github.com/kswanberg/Batch_LCModel_Analysis_Toolkit. (2023).
15. R. Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/. (2023).

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http://echo.ismrm.org/p/ISMRM2026/362-04-006