Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
560-01-012 ISMRM Abstract

Mesoscopic Larmor frequency shifts reduce orientation dependence in susceptibility source separation

Primary: Contrast Mechanisms - Susceptibility/QSM
Secondary: Neuro - White Matter
560-01-012 · New Developments in QSM I · Wednesday, 13 May, 8:20 AM–9:15 AM · Digital Posters Row A
Keywords: Quantitative Susceptibility Mapping (QSM) Susceptibility source separation Anisotropic transverse relaxation White matter microstructure White matter.
Accepted
Alexander Stürz 1,2, Melanie Bauer1,2, Christoph Birkl1,2
1Medical University of Innsbruck, Innsbruck, Austria
2Department of Radiology, Medical University of Innsbruck, Innsbruck, Austria
Presenting Author: Alexander Stürz

Synopsis

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References

1. Shin, H.-G., Lee, J., Yun, Y. H., Yoo, S. H., Jang, J., Oh, S.-H., Nam, Y., Jung, S., Kim, S., Fukunaga, M., Kim, W., Choi, H. J., & Lee, J. (2021). χ-separation: Magnetic susceptibility source separation toward iron and myelin mapping in the brain. NeuroImage, 240, 118371. https://doi.org/10.1016/j.neuroimage.2021.118371 [doi]
2. Sandgaard, A. D., Shemesh, N., Østergaard, L., Kiselev, V. G., & Jespersen, S. N. (2024). The Larmor frequency shift of a white matter magnetic microstructure model with multiple sources. NMR in Biomedicine, 37(8), e5150. https://doi.org/10.1002/nbm.5150 [doi]
3. Yablonskiy, D. A., & Sukstanskii, A. L. (2015). Generalized Lorentzian Tensor Approach (GLTA) as a biophysical background for quantitative susceptibility mapping. Magnetic Resonance in Medicine, 73(2), 757–764. https://doi.org/10.1002/mrm.25538 [doi]
4. Li, W., Wu, B., Avram, A. V., & Liu, C. (2012). Magnetic susceptibility anisotropy of human brain in vivo and its molecular underpinnings. NeuroImage, 59(3), 2088–2097. https://doi.org/10.1016/j.neuroimage.2011.10.038 [doi]
5. Şişman, M., Nguyen, T. D., Roberts, A. G., Romano, D. J., Dimov, A. V., Kovanlikaya, I., Spincemaille, P., & Wang, Y. (2025). Microstructure-informed myelin mapping (MIMM) from routine multi-echo gradient echo data using multiscale physics modeling of iron and myelin effects and QSM. Magnetic Resonance in Medicine, 93(4), 1499–1515. https://doi.org/10.1002/mrm.30369 [doi]
6. Sandgaard, A. D., Kiselev, V. G., Henriques, R. N., Shemesh, N., & Jespersen, S. N. (2024). Incorporating the effect of white matter microstructure in the estimation of magnetic susceptibility in ex vivo mouse brain. Magnetic Resonance in Medicine, 91(2), 699–715. https://doi.org/10.1002/mrm.29867 [doi]
7. Sandgaard, A. D., Shemesh, N., Kiselev, V. G., & Jespersen, S. N. (2023). Larmor frequency shift from magnetized cylinders with arbitrary orientation distribution. NMR in Biomedicine, 36(3), e4859. https://doi.org/10.1002/nbm.4859 [doi]
8. Dymerska, B., Eckstein, K., Bachrata, B., Siow, B., Trattnig, S., Shmueli, K., & Robinson, S. D. (2021). Phase unwrapping with a rapid open-source minimum spanning tree algorithm (ROMEO). Magnetic Resonance in Medicine, 85(4), 2294–2308. https://doi.org/10.1002/mrm.28563 [doi]
9. Li, W., Wu, B., Liu, C., 2011. Quantitative susceptibility mapping of human brain reflects spatial variation in tissue composition. Neuroimage 55, 1645–1656.
10. Kim M, Ji S, Kim J, Min K, Jeong H, Youn J, Kim T, Jang J, Bilgic B, Shin HG, Lee J. χ-sepnet: Deep Neural Network for Magnetic Susceptibility Source Separation. Hum Brain Mapp. 2025 Feb 1;46(2):e70136. doi: 10.1002/hbm.70136. PMID: 39835664; PMCID: PMC11748151. [doi] [pmid]
11. Liu, J., Liu, T., De Rochefort, L., Ledoux, J., Khalidov, I., Chen, W., Tsiouris, A. J., Wisnieff, C., Spincemaille, P., Prince, M. R., & Wang, Y. (2012). Morphology enabled dipole inversion for quantitative susceptibility mapping using structural consistency between the magnitude image and the susceptibility map. NeuroImage, 59(3), 2560–2568. https://doi.org/10.1016/j.neuroimage.2011.08.082 [doi]
12. Kan, H., Uchida, Y., Kawaguchi, S., Kasai, H., Hiwatashi, A., & Ueki, Y. (2024). Quantitative susceptibility mapping for susceptibility source separation with adaptive relaxometric constant estimation (QSM-ARCS) from solely gradient-echo data. NeuroImage, 296, 120676. https://doi.org/10.1016/j.neuroimage.2024.120676 [doi]
13. Wharton, S., & Bowtell, R. (2015). Effects of white matter microstructure on phase and susceptibility maps. Magnetic Resonance in Medicine, 73(3), 1258–1269. https://doi.org/10.1002/mrm.25189 [doi]
14. Sandgaard, A. D., Henriques, R. N., Shemesh, N., & Jespersen, S. N. (n.d.). Investigating time- and orientation-dependent transverse relaxation from magnetic susceptibility of white matter microstructure. Manuscript in preparation.
15. Oliveira, R., Raynaud, Q., Jelescu, I., Kiselev, V. G., Kirilina, E., & Lutti, A. (2023). In-vivo characterization of magnetic inclusions in the subcortex from non-exponential transverse relaxation decay. bioRxiv. https://doi.org/10.1101/2023.09.15.557912 [doi]
16. Yablonskiy, D. A., Wen, J., Kothapalli, S. V. V. N., & Sukstanskii, A. L. (2021). In vivo evaluation of heme and non-heme iron content and neuronal density in human basal ganglia. NeuroImage, 235, 118012. https://doi.org/10.1016/j.neuroimage.2021.118012 [doi]
17. Novikov, D. S., & Kiselev, V. G. (2008). Transverse NMR relaxation in magnetically heterogeneous media. Journal of Magnetic Resonance, 195(1), 33–39. https://doi.org/10.1016/j.jmr.2008.08.005 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/560-01-012