Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
306-02-010 ISMRM Abstract

Non-parametric In-vivo Diffusion Tensor Distribution (DTD) MRI of the Human Brain

Primary: Diffusion - Microstructure
Secondary: Diffusion - Diffusion Acquisition
306-02-010 · From Theory to Clinic: Advances in Diffusion MRI Modeling and Analysis · Monday, 11 May, 1:50 PM–3:40 PM · Auditorium 2
Keywords: Diffusion Tensor Imaging Diffusion-weighted MRI Tensor-valued Diffusion Encoding QTI
Accepted
Kulam Najmudeen Magdoom1,2,3,4,5, Joelle Sarlls4,6, Peter J Basser4,5
1The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, United States of America
2Military Traumatic Brain Injury Initiative (MTBI2), Bethesda, United States of America
3Uniformed Services University of the Health Sciences, Bethesda, United States of America
4National Institutes of Health, Bethesda, United States of America
5Section on Quantitative Imaging and Tissue Sciences (SQITS), Eunice Kennedy Shriver - National Institute of Child Health and Human Development (NICHD), Bethesda, United States of America
6National institute of of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), BETHESDA, United States of America
Presenting Author: Mihika Gangolli

Synopsis

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References

1. Magdoom, K. N., Avram, A. V., Witzel, T. E., Huang, S. Y., & Basser, P. J. (2024). Water Diffusion in the Live Human Brain is Gaussian at the Mesoscale. bioRxiv, 2024-04.
2. Benjamini, Dan, and Peter J. Basser. "Use of marginal distributions constrained optimization (MADCO) for accelerated 2D MRI relaxometry and diffusometry." Journal of magnetic resonance 271 (2016): 40-45
3. Jian, B., Vemuri, B. C., Ozarslan, E., Carney, P. R. & Mareci, T. H. A novel tensor distribution model for the diffusion-weighted MR signal. Neuroimage 37, 164–76 (2007).
4. Magdoom, K. N., Avram, A. V., Sarlls, J. E., Dario, G., & Basser, P. J. (2023). A novel framework for in-vivo diffusion tensor distribution MRI of the human brain. NeuroImage, 271, 120003
5. Veraart, J., Novikov, D. S., Christiaens, D., Ades-Aron, B., Sijbers, J., & Fieremans, E. (2016). Denoising of diffusion MRI using random matrix theory. Neuroimage, 142, 394-406.
6. Jenkinson, M., & Smith, S. (2001). A global optimisation method for robust affine registration of brain images. Medical image analysis, 5(2), 143-156.
7. Ennis, D. B., & Kindlmann, G. (2006). Orthogonal tensor invariants and the analysis of diffusion tensor magnetic resonance images. Magnetic Resonance in Medicine: An Official Journal of the International Society for Magnetic Resonance in Medicine, 55(1), 136-146.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/306-02-010