Estimation of white matter fiber parameters from compressed multiresolution diffusion MRI using sparse Bayesian learning

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Estimation of white matter fiber parameters from compressed multiresolution diffusion MRI using sparse Bayesian learning

We present a sparse Bayesian unmixing algorithm BusineX: Bayesian Unmixing for Sparse Inference-based Estimation of Fiber Crossings (X), for estimation of white matter fiber parameters from compressed (under-sampled) diffusion MRI (dMRI) data. BusineX combines compressive sensing with linear unmixin...

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Bibliographic Details
Main Authors:	Pisharady, Pramod Kumar, Sotiropoulos, Stamatios N., Duarte-Carvajalino, Julio M., Sapiro, Guillermo, Lenglet, Christophe
Format:	Article
Published:	Elsevier 2017
Subjects:	Sparse Bayesian learning; Compressive sensing; Linear unmixing; Diffusion MRI; Fiber orientation; Sparse signal recovery
Online Access:	https://eprints.nottingham.ac.uk/44191/

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