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Least Squares for Diffusion Tensor Estimation Revisited: Propagation of Uncertainty with Rician and non-Rician Signals
Least Squares (LS) and its minimum variance counterpart, Weighted Least Squares (WLS), have become very popular when estimating the Diffusion Tensor (DT), to the point that they are the standard in most of the existing software for diffusion MRI. They are based on the linearization of the Stejskal-T...
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| Main Authors: | , , |
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| Format: | Artigo |
| Language: | Inglês |
| Published: |
2011
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4039744/ https://ncbi.nlm.nih.gov/pubmed/22015852 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2011.09.074 |
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