Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
630-01-010 ISMRM Abstract

Quantitative susceptibility mapping and decomposition of paramagnetic and diamagnetic components in motor neuron diseases.

Accepted
Lorenzo Gualco 1,2, Davide Sabbadin3,4, Oliver C Kiersnowski4, Matteo Pardini1,4, Angelo Schenone1,4, Chiara Gemelli4, Pilar M Ferraro4, Alessio Signori5, Corrado Cabona4, Mirco Cosottini6,7, Graziella Donatelli6,8, Chunlei Liu9,10, Mauro Costagli1,4, Luca Roccatagliata4,5
1Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
2Radiology, Santi Antonio and Biagio and Cesare Arrigo University Hospital, Alessandria, Italy
3Department of Information Engineering, Università di Padova, Padova, Italy
4IRCCS Ospedale Policlinico San Martino, Genoa, Italy
5Department of Health Science (DISSAL), University of Genoa, Genoa (GE), Italy
6Neuroradiology Unit, Department of Translational Research on New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
7Neuroradiology Unit, Azienda Ospedaliero-Universitaria Pisana., Pisa, Italy
8IMAGO7 Research Foundation, Pisa, Italy
9Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, United States of America
10Helen Wills Neuroscience Institute, University of California, Berkeley, United States of America
Presenting Author: Lorenzo Gualco

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. von Quednow, E., Husain, N., Łajczak, P., Linha Secco, G. & Koppanatham, A. Diagnostic accuracy of the Gold Coast Criteria for amyotrophic lateral sclerosis: a systematic revi-ew and meta-analysis. Clinical Neurophysiology 179, (2025). doi:10.1016/j.clinph.2025.2111005 [doi]
2. Acosta-Cabronero, J. et al. Quantitative susceptibility MRI to detect brain iron in amyo-trophic lateral sclerosis. Radiology 289, 195–203 (2018). doi:10.1148/radiol.2018180112 [doi]
3. Donatelli, G. et al. Motor cortical patterns of upper motor neuron pathology in amyotro-phic lateral sclerosis: A 3 T MRI study with iron-sensitive sequences. Neuroimage Clin 35, (2022). doi:10.1016/j.nicl.2022.103138 [doi]
4. Chen, J., Gong, N. J., Chaim, K. T., Otaduy, M. C. G. & Liu, C. Decompose quantitative su-sceptibility mapping (QSM) to sub-voxel diamagnetic and paramagnetic components based on gradient-echo MRI data. Neuroimage 242, (2021). doi:10.1016/j.neuroimage.2021.118477 [doi]
5. Jenkinson, M., Beckmann, C. F., Behrens, T. E. J., Woolrich, M. W. & Smith, S. M. FSL. Neuroimage 62, 782–790 (2012). doi:10.1016/j.neuroimage.2011.09.015 [doi]
6. Liu, T. et al. Nonlinear formulation of the magnetic field to source relationship for ro-bust quantitative susceptibility mapping. Magn Reson Med 69, 467–476 (2013). doi:10.1002/mrm.24272 [doi]
7. Schofield, M. A. & Zhu, Y. Fast phase unwrapping algorithm for interferometric applica-tions. Opt Lett 28, 1194–1196 (2003). doi:10.1364/ol.28.001194 [doi]
8. Schweser, F., Deistung, A., Lehr, B. W. & Reichenbach, J. R. Quantitative imaging of in-trinsic magnetic tissue properties using MRI signal phase: An approach to in vivo brain iron metabolism? Neuroimage 54, 2789–2807 (2011). doi:10.1016/j.neuroimage.2010.10.070 [doi]
9. Li, W. et al. A method for estimating and removing streaking artifacts in quantitative su-sceptibility mapping. Neuroimage 108, 111–122 (2015). doi:10.1016/j.neuroimage.2014.12.043 [doi]
10. Dale, A. M., Fischl, B. & Sereno, M. I. Cortical Surface-Based Analysis I. Segmentation and Surface Reconstruction. http://www.idealibrary.com (1999). doi:10.1006/nimg.1998.0395 [doi]

Cite this abstract