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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2017
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| Online Access: | http://eprints.nottingham.ac.uk/44191/ http://eprints.nottingham.ac.uk/44191/ http://eprints.nottingham.ac.uk/44191/ http://eprints.nottingham.ac.uk/44191/1/BusineX_5_15_17_resubmission_final.%20Sotiropoulos.pdf |