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

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...

Full description

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/

Internet

https://eprints.nottingham.ac.uk/44191/

Similar Items