Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
662-01-001 ISMRM Abstract

Mapping the Mean Diffusivity of Tissue (MDT): Evaluation in Epilepsy and Glioma and Implementation on a 200 mT/m System

Primary: Acquisition & Reconstruction - Quantitative Imaging: head and neck
Secondary: Neuro - Epilepsy
662-01-001 · Advanced Quantitative and Diffusion MRI for Epilepsy: From Lesion Detection to Clinical Translation · Thursday, 14 May, 8:30 AM–9:25 AM · Digital Posters Row C
Keywords: Epilepsy Glioma Diffusion MRI Ultra-strong gradients Fluid suppression
Accepted
Cornelia Säll 1, Irena Grubor2, Filip Szczepankiewicz1, Kristina Serednicka3, Johan Bengzon4, Pia Maly Sundgren5,6,7, Markus Nilsson8
1Department of Medical Radiation Physics, Lund, Sweden, Lund University, Lund, Sweden
2Division of Neurosurgery, Department of Clinical Sciences, Lund University, Lund, Sweden
3Department of Clinical Sciences Lund, Diagnostic Radiology, Lund, Sweden, Lund University, Lund, Sweden
4Department of Neurosurgery, Lund University Hospital, Lund, Sweden
5Diagnostic Radiology, Lund University, Lund, Sweden
6Department of Medical Imaging and Physiology, Lund University Hospital, Lund, Sweden
7Medicinska fakulteten, Lund University Bioimaging Centre, Lund University, Lund, Sweden
8Department of Diagnostic Radiology, Lund, Sweden, Lund University, Lund, Sweden
Presenting Author: Cornelia Säll

Synopsis

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References

1. Säll C, Spotorno N, Sundgren PC, van Westen D, Westin C-F, Szczepankiewicz F, et al. Diffusion MRI in the cortex of the brain: Reducing partial volume effects from cerebrospinal fluid and white matter in the mean diffusivity using high b-values and spherical b-tensor encoding. Magn Reson Med. 2025;94(3):1166-1181. doi: 10.1002/mrm.30552. [doi]
2. Szczepankiewicz F, Sjölund J, Ståhlberg F, Lätt J, Nilsson M. Tensor-valued diffusion encoding for diffusional variance decomposition (DIVIDE): Technical feasibility in clinical MRI systems. PLoS One. 2019;14(3):e0214238. doi: 10.1371/journal.pone.0214238. [doi]
3. Szczepankiewicz F, Westin C-F, Nilsson M. Maxwell-compensated design of asymmetric gradient waveforms for tensor-valued diffusion encoding. Magn Reson Med. 2019;82(4):1424-1437. doi: 10.1002/mrm.27828. [doi]
4. Vis G, Nilsson M, Westin C-F, Szczepankiewicz F. Accuracy and precision in super-resolution MRi: Enabling spherical tensor diffusion encoding at ultra-high b-values and high resoultion. Neuroimage. 2021;245:118673. doi: 10.1016/j.neuroimage.2021.118673. [doi]
5. Veraart J, Novikov DS, Christiaens D, Ades-Aron B, Sijbers J, Fieremans E. Denoising of diffusion MRI using random matrix theory. Neuroimage. 2016;142:394-406. doi: 10.1016/j.neuroimage.2016.08.016. [doi]
6. Nilsson M, Szczepankiewicz F, Lampinen B, Ahlgren A, de Almeida Martins JP, Lasič S, et al. An open-source framework for analysis of multidimensional diffusion MRI data implemented in MATLAB. presented at: Proc Intl Soc Mag Reson Med; 2018; Paris, France.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/662-01-001