Diffusion MRI is successfully used to map white matter in the brain. In this work we develop a new clinically viable technique with particular focus on grey matter microstructure. To capture the heterogeneous morphology of grey matter, it is imperative to disentangle cylindrical and spherical geometries commonly attributed to neurites and neural soma. We achieve this by leveraging the latest advances in B-tensor encoding and deep learning techniques and present microstructural feature maps of neurites and neural soma in-vivo in the human brain.
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