Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
365-05-001 ISMRM Abstract

Exploring the application and impact of open-source denoising strategies to quantitative sodium (23Na) MRI in the human brain

Primary: Contrast Mechanisms - Non-Proton
Secondary: Analysis Methods - Image Reconstruction: Non-AI
365-05-001 · Novel Acquisition Methods · Monday, 11 May, 4:10 PM–5:05 PM · Digital Posters Row F
Keywords: Quantitative MRI Denoising Sodium MRI Total sodium concentration Non-Proton MRI
Accepted
Samuel Rot 1,2, Louise Rosenqvist3, Ben Prestwich4, Bhavana S Solanky1,2, Hampus Olsson5, Matthew Clemence6, Sofia Nordberg7, Susan Francis4,8, Isabella M Björkman-Burtscher7,9, Maria Ljungberg3,10, Claudia A Gandini Wheeler-Kingshott1,11,12
1NMR Research unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom
2Hawkes Institute, Department of Computer Science, University College London, London, United Kingdom
3Department of Medical Radiation Sciences, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
4Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom
5Philips Healthcare, Best, Netherlands
6Senior Scientist, Philips Healthcare, London, United Kingdom
7Department of Radiology, Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden
8Nottingham Biomedical Research Centre, National Institute for Health Research, Nottingham, United Kingdom
9Department of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
10Department of Biomedical Engineering and Medical Physics, Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden
11Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
12Digital Neuroscience Centre, IRCCS Mondino Foundation, Pavia, Italy
Presenting Author: Samuel Rot

Synopsis

Motivation:
Goals:
Approach:
Results:
Full abstract & presentation

The full text, figures, and any recorded presentation for this abstract are not shown here. Log in if you are a member or registered attendee with access.

Full abstracts, figures, and presentations for Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition are available to registered attendees. This content becomes freely available to the public roughly two years after the meeting.

To request or purchase access, contact the ISMRM Central Office at info@ismrm.org.

Log in

References

1. Thulborn KR. Quantitative sodium MR imaging: A review of its evolving role in medicine. Neuroimage. 2018;168:250-268. doi:https://doi.org/10.1016/j.neuroimage.2016.11.056 [doi]
2. Behl NGR, Gnahm C, Bachert P, Ladd ME, Nagel AM. Three‐dimensional dictionary‐learning reconstruction of 23 Na MRI data. Magn Reson Med. 2016;75(4):1605-1616. doi:10.1002/mrm.25759 [doi]
3. Gnahm C, Nagel AM. Anatomically weighted second-order total variation reconstruction of 23Na MRI using prior information from 1H MRI. Neuroimage. 2015;105:452-461. doi:10.1016/j.neuroimage.2014.11.006 [doi]
4. Utzschneider M, Müller M, Gast L V., et al. Towards accelerated quantitative sodium MRI at 7 T in the skeletal muscle: Comparison of anisotropic acquisition- and compressed sensing techniques. Magn Reson Imaging. 2021;75:72-88. doi:10.1016/j.mri.2020.09.019 [doi]
5. Madelin G, Chang G, Otazo R, Jerschow A, Regatte RR. Compressed sensing sodium MRI of cartilage at 7T: Preliminary study. Journal of Magnetic Resonance. 2012;214:360-365. doi:10.1016/j.jmr.2011.12.005 [doi]
6. Zhao Y, Guo R, Li Y, Thulborn KR, Liang Z. High‐resolution sodium imaging using anatomical and sparsity constraints for denoising and recovery of novel features. Magn Reson Med. 2021;86(2):625-636. doi:10.1002/mrm.28767 [doi]
7. Polak P, Schulte RF, Noseworthy MD. An approach to evaluation of the point‐spread function for 23 Na magnetic resonance imaging. NMR Biomed. 2022;35(2). doi:10.1002/nbm.4627 [doi]
8. Rot S, Clemence M, Solanky BS, Gandini Wheeler-Kingshott C. 3D Seiffert spiral k-space trajectories for a functional sodium (23Na) MRI protocol at 3T. In: Proc. Intl. Soc. Mag. Reson. Med. 32. ; 2024.
9. Speidel T, Metze P, Rasche V. Efficient 3D Low-Discrepancy k-Space Sampling Using Highly Adaptable Seiffert Spirals. IEEE Trans Med Imaging. 2019;38(8):1833-1840. doi:10.1109/TMI.2018.2888695 [doi]
10. Rot S, Oliver‐Taylor A, Baker RR, et al. Polyacrylamide Gel Calibration Phantoms for Quantification in Sodium MRI. NMR Biomed. 2025;38(6). doi:10.1002/nbm.70056 [doi]
11. Barnett AH, Magland J, af Klinteberg L. A Parallel Nonuniform Fast Fourier Transform Library Based on an “Exponential of Semicircle" Kernel. SIAM Journal on Scientific Computing. 2019;41(5):C479-C504. doi:10.1137/18M120885X [doi]
12. Zwart NR, Johnson KO, Pipe JG. Efficient sample density estimation by combining gridding and an optimized kernel. Magn Reson Med. 2012;67(3):701-710. doi:10.1002/mrm.23041 [doi]
13. Knoll F, Bredies K, Pock T, Stollberger R. Second order total generalized variation (TGV) for MRI. Magn Reson Med. 2011;65(2):480-491. doi:10.1002/mrm.22595 [doi]
14. Blumenthal M, Heide M, Holme C, et al. mrirecon/bart: version 0.9.00. 2023.
15. Perona P, Malik J. Scale-space and edge detection using anisotropic diffusion. IEEE Trans Pattern Anal Mach Intell. 1990;12(7):629-639. doi:10.1109/34.56205 [doi]
16. Makinen Y, Azzari L, Foi A. Collaborative Filtering of Correlated Noise: Exact Transform-Domain Variance for Improved Shrinkage and Patch Matching. IEEE Transactions on Image Processing. 2020;29:8339-8354. doi:10.1109/TIP.2020.3014721 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/365-05-001