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Lecture Notes in Computer Science
Diffusion-weighted imaging (DWI) allows to probe tissue microstructure non-invasively and study healthy and diseased white matter (WM) in vivo. Yet, less research has focussed on modelling grey matter (GM), cerebrospinal fluid (CSF) and other tissues. Here, we introduce a fully data-driven approach to spherical deconvolution, based on convex non-negative matrix factorization. Our approach decomposes multi-shell DWI data, represented in the basis of spherical harmonics, into tissuespecificdoi:10.1007/978-3-319-24553-9_21 fatcat:32b3utncvvep7alciiylyklnbq