Diffusion Textures: A Novel Way to Represent Brain Tissue Microstructure

Diffusion weighted magnetic resonance imaging (DWI) gives a unique opportunity to look inside tissue microstructure of human brain white matter. Usually we try to explain the DWI-signal by identifying the different microscopic components and making assumption about their physical and statistical properties. This leads to analytical models containing the relevant parameters like diffusivities and volume fractions. In this work we want to propose an alternative, more a phenomenological description of the measurement. Instead of stating some analytical model which is statistical derived from some physical assumptions about microstructure statistics, we propose to directly reconstruct the tissue microstructure.

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