Complex diffusion-weighted image estimation via matrix recovery under general noise models

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 rec...

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Detalles Bibliográficos
Autores principales: Cordero-Grande, Lucilio, Christiaens, Daan, Hutter, Jana, Price, Anthony N., Hajnal, Jo V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academic Press 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6711461/
https://www.ncbi.nlm.nih.gov/pubmed/31226495
http://dx.doi.org/10.1016/j.neuroimage.2019.06.039

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6711461/
https://www.ncbi.nlm.nih.gov/pubmed/31226495
http://dx.doi.org/10.1016/j.neuroimage.2019.06.039

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