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Efficient Dynamic Parallel MRI Reconstruction for the Low-Rank Plus Sparse Model

The low-rank plus sparse (L+S) decomposition model enables the reconstruction of under-sampled dynamic parallel magnetic resonance imaging (MRI) data. Solving for the low-rank and the sparse components involves non-smooth composite convex optimization, and algorithms for this problem can be categori...

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Bibliografiske detaljer
Udgivet i:IEEE Trans Comput Imaging
Main Authors: Lin, Claire Yilin, Fessler, Jeffrey A.
Format: Artigo
Sprog:Inglês
Udgivet: 2018
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6867710/
https://ncbi.nlm.nih.gov/pubmed/31750391
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TCI.2018.2882089
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