Regularizing GRAPPA using simultaneous sparsity to recover de-noised images

Regularizing GRAPPA using simultaneous sparsity to recover de-noised images

To enable further acceleration of magnetic resonance (MR) imaging, compressed sensing (CS) is combined with GRAPPA, a parallel imaging method, to reconstruct images from highly undersampled data with significantly improved RMSE compared to reconstructions using GRAPPA alone. This novel combination o...

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Bibliographic Details
Main Authors: Goyal, Vivek K., Polimeni, Jonathan R., Grady, Leo, Wald, Lawrence L., Adalsteinsson, Elfar, Weller, Daniel Stuart
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:en_US
Published: Society of Photo-optical Instrumentation Engineers 2012
Online Access:http://hdl.handle.net/1721.1/72066
https://orcid.org/0000-0002-7637-2914

Internet

http://hdl.handle.net/1721.1/72066
https://orcid.org/0000-0002-7637-2914

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