Multidimensional microstructure imaging

Organisational unit: Research group

Research areas and keywords

UKÄ subject classification

  • Cancer and Oncology


  • MRI, biophysical modelling, diffusion, microstructure


In diffusion MRI (dMRI), images are sensitised to water diffusion by the application of magnetic field gradients. Cell membranes hinder the diffusional motion and thereby contribute to the contrast in dMRI. Thus, the diffusion of water molecules is used a probe of tissue microstructure. Data from dMRI is often analysed using diffusion tensor imaging (DTI), which yields image biomarkers that reflect cell density and the orientation coherence of tissue, in terms of the mean diffusivity (MD) and fractional anisotropy (FA), respectively. However, these metrics conflates multiple measures of the microstructure. In our group, we are developing a novel set of technologies for acquisition and analysis of dMRI that we collectively call multidimensional microstructure imaging (MMI). MMI takes advantage of our recent developments for dMRI that enables diffusion encoding by gradient waveforms that goes beyond previous strategies, such as so-called single diffusion encoding.

Recent research outputs

Filip Szczepankiewicz & Jens Sjölund, 2021 Jul, In: Journal of Magnetic Resonance. 328, 106991.

Research output: Contribution to journalArticle

Martin Jáni, Zora Kikinis, Jan Lošák, Ofer Pasternak, Filip Szczepankiewicz, Carina Heller, Sophia Swago, Annelise Silva, Sylvain Bouix, Marek Kubicki, Libor Ustohal, Petr Kudlička, Lubomír Vojtíšek, Carl Frederik Westin & Tomáš Kašpárek, 2021, In: Frontiers in Psychiatry. 12, 601742.

Research output: Contribution to journalArticle

Alexis Reymbaut, Alex Valcourt Caron, Guillaume Gilbert, Filip Szczepankiewicz, Markus Nilsson, Simon K. Warfield, Maxime Descoteaux & Benoit Scherrer, 2021, In: Medical Image Analysis. 70, 101988.

Research output: Contribution to journalArticle

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