Complex diffusion-weighted image estimation via matrix recovery under general noise models
Complex diffusion-weighted image estimation via matrix recovery under general noise models
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Publisher
United States: Elsevier Inc
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Language
English
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United States: Elsevier Inc
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We propose a patch-based singular value shrinkage method for diffusion magnetic resonance image estimation targeted at low signal to noise ratio and accelerated acquisitions. It operates on the complex data resulting from a sensitivity encoding reconstruction, where asymptotically optimal signal recovery guarantees can be attained by modeling the n...
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Full title
Complex diffusion-weighted image estimation via matrix recovery under general noise models
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6711461
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6711461
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ISSN
1053-8119
E-ISSN
1095-9572
DOI
10.1016/j.neuroimage.2019.06.039