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An Augmented Lagrangian Based Compressed Sensing Reconstruction for Non-Cartesian Magnetic Resonance Imaging without Gridding and Regridding at Every Iteration

BACKGROUND: Non-Cartesian trajectories are used in a variety of fast imaging applications, due to the incoherent image domain artifacts they create when undersampled. While the gridding technique is commonly utilized for reconstruction, the incoherent artifacts may be further removed using compresse...

Täydet tiedot

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Bibliografiset tiedot
Päätekijät: Akçakaya, Mehmet, Nam, Seunghoon, Basha, Tamer A., Kawaji, Keigo, Tarokh, Vahid, Nezafat, Reza
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Public Library of Science 2014
Aiheet:
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC4162575/
https://ncbi.nlm.nih.gov/pubmed/25215945
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0107107
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