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A Sparse Bayesian Learning Algorithm for White Matter Parameter Estimation from Compressed Multi-shell Diffusion MRI

We propose a sparse Bayesian learning algorithm for improved estimation of white matter fiber parameters from compressed (under-sampled q-space) multi-shell diffusion MRI data. The multi-shell data is represented in a dictionary form using a non-monoexponential decay model of diffusion, based on con...

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Bibliografski detalji
Izdano u:Med Image Comput Comput Assist Interv
Glavni autori: Pisharady, Pramod Kumar, Sotiropoulos, Stamatios N, Sapiro, Guillermo, Lenglet, Christophe
Format: Artigo
Jezik:Inglês
Izdano: 2017
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC5667569/
https://ncbi.nlm.nih.gov/pubmed/29104968
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-319-66182-7_69
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