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...
Main Authors: | Goyal, Vivek K., Polimeni, Jonathan R., Grady, Leo, Wald, Lawrence L., Adalsteinsson, Elfar, Weller, Daniel Stuart |
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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
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Online Access: | http://hdl.handle.net/1721.1/72066 https://orcid.org/0000-0002-7637-2914 |
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