Fast reconstruction for multichannel compressed sensing using a hierarchically semiseparable solver

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 computa...

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Bibliographic Details
Main Authors: Cauley, Stephen F., Xi, Yuanzhe, Bilgic, Berkin, Xia, Jianlin, Balakrishnan, Venkataramanan, Setsompop, Kawin, Adalsteinsson, Elfar, Wald, Lawrence
Other Authors: Harvard University--MIT Division of Health Sciences and Technology
Format: Article
Language:en_US
Published: Wiley Blackwell 2017
Online Access:http://hdl.handle.net/1721.1/110733
https://orcid.org/0000-0002-7637-2914

Internet

http://hdl.handle.net/1721.1/110733
https://orcid.org/0000-0002-7637-2914

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