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Sparse Bayesian Inference of White Matter Fiber Orientations from Compressed Multi-resolution Diffusion MRI
The RubiX [1] algorithm combines high SNR characteristics of low resolution data with high spacial specificity of high resolution data, to extract microstructural tissue parameters from diffusion MRI. In this paper we focus on estimating crossing fiber orientations and introduce sparsity to the Rubi...
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| Publicado no: | Med Image Comput Comput Assist Interv |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5568854/ https://ncbi.nlm.nih.gov/pubmed/28845484 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-319-24553-9_15 |
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