Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
306-02-009 ISMRM Abstract

Clinical Soma and Neurite Density Imaging (SANDI): Translational microstructural mapping for standard 3T MRI scanners

Primary: Diffusion - Diffusion Modeling
Secondary: Diffusion - Microstructure
306-02-009 · From Theory to Clinic: Advances in Diffusion MRI Modeling and Analysis · Monday, 11 May, 1:50 PM–3:40 PM · Auditorium 2
Keywords: Biomarkers Diffusion Modeling Gray Matter Microstructure Clinical Translation
Accepted
Hansol Lee 1,2, Kwok-Shing Chan1, Yixin Ma1, Eva A Krijnen3,4, Laleh Eskandarian1, Aneri Bhatt1, Julianna Gerold1, Susie Huang1, Hong Hsi Lee1
1Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, United States of America
2Department of Biomedical Engineering, Ulsan National Institute of Science and Technology, Ulsan, Korea, Republic of
3Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, United States of America
4MS Center Amsterdam, Amsterdam, Netherlands
Presenting Author: Hansol Lee

Synopsis

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References

1. Palombo, M., Ianus, A., Guerreri, M., Nunes, D., Alexander, D. C., Shemesh, N., & Zhang, H. (2020). SANDI: a compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI. Neuroimage, 215, 116835. doi:10.1016/j.neuroimage.2020.116835. PMID: 32289460 [doi] [pmid]
2. Lee, H., Lee, H. H., Ma, Y., Eskandarian, L., Gaudet, K., Tian, Q., ... & Huang, S. Y. (2024). Age‐related alterations in human cortical microstructure across the lifespan: Insights from high‐gradient diffusion MRI. Aging Cell, 23(11), e14267. doi:10.1111/acel.14267. PMID: 39118344 [doi] [pmid]
3. Krijnen, E. A., Russo, A. W., Salim Karam, E., Lee, H., Chiang, F. L., Schoonheim, M. M., ... & Klawiter, E. C. (2023). Detection of grey matter microstructural substrates of neurodegeneration in multiple sclerosis. Brain Communications, 5(3), fcad153. doi:10.1093/braincomms/fcad153. PMID: 37274832 [doi] [pmid]
4. Ioakeimidis, V., Palombo, M., Casella, C., Layland, L., McNabb, C. B., Schubert, R., ... & Metzler-Baddeley, C. (2025). In vivo mapping of striatal neurodegeneration in Huntington’s disease with Soma and Neurite Density Imaging. medRxiv, 2025-03.  doi:10.1101/2025.03.17.25324107 [doi]
5. Gong, T., Maffei, C., Dann, E., Lee, H.H., Lee, H., Augustinack, J.C., Huang, S.Y., Haber, S.N. and Yendiki, A., (2025). Interplay between MRI-based axon diameter and myelination estimates in macaque and human brain. Imaging Neuroscience, 3, p.imag_a_00576. doi:10.1162/imag_a_00576. PMID: 40800960 [doi] [pmid]
6. Giordano, S. (2003). Effective medium theory for dispersions of dielectric ellipsoids. Journal of electrostatics, 58(1-2), 59-76. doi:10.1016/S0304-3886(02)00199-7 [doi]
7. Novikov, D. S., & Kiselev, V. G. (2010). Effective medium theory of a diffusion‐weighted signal. NMR in Biomedicine, 23(7), 682-697. doi:10.1002/nbm.1584. PMID: 20886563 [doi] [pmid]
8. Lee, H.H., Abdollahzadeh, A., Lee, H., Coronado-Leija, R., Fieremans, E., Novikov, D.S., Huang, S.Y. (2026). Dependence of extra-cellular diffusion coefficient on the fractions of neurites and cell bodies in gray matter. ISMRM Annual Meeting (Submitted).
9. Ramos-Llordén, G., Lee, H.H., Davids, M., Dietz, P., Krug, A., Kirsch, J.E., Mahmutovic, M., Müller, A., Ma, Y., Lee, H. and Maffei, C., 2025. Ultra-high gradient connectomics and microstructure MRI scanner for imaging of human brain circuits across scales. Nature biomedical engineering, pp.1-16. doi:10.1038/s41551-025-01457. PMID: 40670720 [doi] [pmid]
10. Kellner, E., Dhital, B., Kiselev, V. G. and Reisert, M. (2016). Gibbs‐ringing artifact removal based on local subvoxel‐shifts. Magnetic resonance in medicine, 76(5), 1574-1581. doi:10.1002/mrm.26054. PMID: 26745823 [doi] [pmid]
11. Andersson J. L., Skare S. & Ashburner J. How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging. Neuroimage 20, 870–888 (2003). doi:10.1016/S1053-8119(03)00336-7. PMID: 14568458 [doi] [pmid]
12. Andersson, J. L., & Sotiropoulos, S. N. (2016). An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging. Neuroimage, 125, 1063-1078. doi:10.1016/j.neuroimage.2015.10.019. PMID: 26481672 [doi] [pmid]
13. https://github.com/palombom/SANDI-Matlab-Toolbox-v1.0
14. Duval, T., Smith, V., Stikov, N., Klawiter, E. C. and Cohen‐Adad, J. (2018). Scan–rescan of axcaliber, macromolecular tissue volume, and g‐ratio in the spinal cord. Magnetic resonance in medicine, 79(5), 2759-2765. doi:10.1002/mrm.26945. PMID: 28994487 [doi] [pmid]
15. Lee, H., Ford, J.N., Chan, K.S., Yen Y.F., Lee, H.H., Huang, S.Y. (2026). Clinical Soma and Neurite Density Imaging (SANDI) as a Novel Early Biomarker of Alzheimer’s Disease. ISMRM Annual Meeting (Submitted).

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/306-02-009