Fast reconstruction for multichannel compressed sensing using a hierarchically semiseparable solver

Purpose The adoption of multichannel compressed sensing (CS) for clinical magnetic resonance imaging (MRI) hinges on the ability to accurately reconstruct images from an undersampled dataset in a reasonable time frame. When CS is combined with SENSE parallel imaging, reconstruction can be computatio...

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Bibliographic Details
Main Authors: Cauley, Stephen F. (Author), Xi, Yuanzhe (Author), Bilgic, Berkin (Author), Xia, Jianlin (Author), Balakrishnan, Venkataramanan (Author), Setsompop, Kawin (Author), Adalsteinsson, Elfar (Contributor), Wald, Lawrence (Contributor)
Other Authors: Harvard University- (Contributor)
Format: Article
Language:English
Published: Wiley Blackwell, 2017-07-17T17:41:16Z.
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