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. (Contributor), Polimeni, Jonathan R. (Author), Grady, Leo (Author), Wald, Lawrence L. (Author), Adalsteinsson, Elfar (Contributor), Weller, Daniel Stuart (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Society of Photo-optical Instrumentation Engineers, 2012-08-09T14:42:52Z.
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