Unconstrained Estimation of Microstructure by the Combination of Single- and Double-planar diffusion encoding

Modeling of white matter microstructure using standard diffusion MRI protocols is a poor-conditioned problem. With standard measurements there is a global degeneracy: There are two significantly different microstructural parameter sets explaining experimental data equally well. In this work we use an additional planar double diffusion encoding to resolve the degeneracy, and extend a Bayesian estimation framework to a combination of linear and planar diffusion encoding. This enables us to produce reliable estimates without applying any constraints to the microstructural diffusion model.