Model-based estimation of microstructure parameters from diffusion MRI data in a substrate with microscopic anisotropy and a distribution of pore sizes
Andrada Ianus 1 , Ivana Drobnjak 1 , and Daniel C Alexander 1
Centre for Medical Image Computing,
Department of Computer Science, UCL, London, United
Current methods of calculating microscopic anisotropy
lack specificity in the case of substrates with a
distribution of pore sizes. Here we present for the
first time a model-based approach for estimating
explicit microstructural features, such as pore size and
elongation that are invariant to size distribution.
Single pulsed field gradient (PFG) measurements are not
sufficient to recover this information, while double and
triple PFG measurements yield accurate estimates for all
the substrates considered in the simulation.
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