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Fast Reconstruction for Multi-channel Compressed Sensing Using a Hierarchically Semiseparable Solver

PURPOSE: The adoption of multi-channel compressed sensing (CS) for clinical MRI hinges on the ability to accurately reconstruct images from an under-sampled dataset in a reasonable time frame. When CS is combined with SENSE parallel imaging, reconstruction can be computationally intensive. As an alt...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Cauley, Stephen F., Xi, Yuanzhe, Bilgic, Berkin, Xia, Jianlin, Adalsteinsson, Elfar, Balakrishnan, Venkataramanan, Wald, Lawrence L., Setsompop, Kawin
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2014
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4167172/
https://ncbi.nlm.nih.gov/pubmed/24639238
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mrm.25222
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