Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
630-01-007 ISMRM Abstract

Background Field Removal and Dipole Inversion Algorithm Optimization for Spinal Cord Quantitative Susceptibility Mapping

Accepted
Sebastian A Rios 1, Anna Lebret2, Maryam Seif2,3,4, Eva Alonso Ortiz1,5
1NeuroPoly Lab, Montreal, Canada
2Balgrist University Hospital, University of Zurich, Zurich, Switzerland
3University of Zurich, Zurich, Switzerland
4Max Planck Institute for Cognitive Brain Sciences, Leipzig, Germany
5Centre de Recherche du CHU Sainte-Justine, Montreal, Canada
Presenting Author: Sebastian A Rios

Synopsis

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References

1. Voon, C. C., Wiltgen, T., Wiestler, B., Schlaeger, S. & Mühlau, M. Quantitative susceptibility mapping in multiple sclerosis: A systematic review and meta-analysis. NeuroImage Clin. 42, 103598 (2024).
2. Uchida, Y., Kan, H., Sakurai, K., Oishi, K. & Matsukawa, N. Quantitative susceptibility mapping as an imaging biomarker for Alzheimer’s disease: The expectations and limitations. Front. Neurosci. 16, 938092 (2022).
3. Langkammer, C. et al. Quantitative susceptibility mapping (QSM) as a means to measure brain iron? A post mortem validation study. Neuroimage 62, 1593–1599 (2012).
4. Liu, C., Li, W., Johnson, G. A. & Wu, B. High-field (9.4 T) MRI of brain dysmyelination by quantitative mapping of magnetic susceptibility. Neuroimage 56, 930–938 (2011).
5. Lorenzi, R. M. et al. Unsuspected involvement of spinal cord in Alzheimer disease. Front. Cell. Neurosci. 14, 6 (2020).
6. Kreiter, D., Postma, A. A., Hupperts, R. & Gerlach, O. Hallmarks of spinal cord pathology in multiple sclerosis. J. Neurol. Sci. 456, 122846 (2024).
7. Dymerska, B. et al. Phase unwrapping with a rapid opensource minimum spanning tree algorithm (ROMEO). Magn. Reson. Med. 85, 2294–2308 (2021).
8. Zhou, D., Liu, T., Spincemaille, P. & Wang, Y. Background field removal by solving the Laplacian boundary value problem: BACKGROUND FIELD REMOVAL BY SOLVING LAPLACIAN BOUNDARY VALUE PROBLEM. NMR Biomed. 27, 312–319 (2014).
9. Liu, T. et al. A novel background field removal method for MRI using projection onto dipole fields (PDF): IMPROVED BACKGROUND FIELD REMOVAL METHOD USING PDF. NMR Biomed. 24, 1129–1136 (2011).
10. Schweser, F., Deistung, A., Lehr, B. W. & Reichenbach, J. R. Quantitative imaging of intrinsic magnetic tissue properties using MRI signal phase: an approach to in vivo brain iron metabolism? Neuroimage 54, 2789–2807 (2011).
11. Sun, H. & Wilman, A. H. Background field removal using spherical mean value filtering and Tikhonov regularization: RESHARP Background Field Removal. Magn. Reson. Med. 71, 1151–1157 (2014).
12. Li, W., Wu, B. & Liu, C. Quantitative susceptibility mapping of human brain reflects spatial variation in tissue composition. Neuroimage 55, 1645–1656 (2011).
13. Chan, K.-S. & Marques, J. P. SEPIA-Susceptibility mapping pipeline tool for phase images. Neuroimage 227, 117611 (2021).
14. Audet, C., Le Digabel, S., Montplaisir, V. R. & Tribes, C. Algorithm 1027: NOMAD version 4: Nonlinear optimization with the MADS algorithm. ACM Trans. Math. Softw. 48, 1–22 (2022).
15. Wharton, S., Schäfer, A. & Bowtell, R. Susceptibility mapping in the human brain using threshold-based k-space division. Magn. Reson. Med. 63, 1292–1304 (2010).
16. Polak, D. et al. Nonlinear dipole inversion (NDI) enables robust quantitative susceptibility mapping (QSM). NMR Biomed. 33, e4271 (2020).
17. Milovic, C., Bilgic, B., Zhao, B., Acosta-Cabronero, J. & Tejos, C. Fast nonlinear susceptibility inversion with variational regularization. Magn. Reson. Med. 80, 814–821 (2018).
18. Milovic, C. et al. Weak-harmonic regularization for quantitative susceptibility mapping. Magn. Reson. Med. 81, 1399–1411 (2019).
19. Liu, T. et al. Morphology enabled dipole inversion (MEDI) from a single-angle acquisition: comparison with COSMOS in human brain imaging: Comparison Between MEDI and COSMOS. Magn. Reson. Med. 66, 777–783 (2011).
20. De Leener, B. et al. SCT: Spinal Cord Toolbox, an open-source software for processing spinal cord MRI data. Neuroimage 145, 24–43 (2017).

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