Accelerated parallel magnetic resonance imaging reconstruction using joint estimation with a sparse signal model
Accelerating magnetic resonance imaging (MRI) by reducing the number of acquired k-space scan lines benefits conventional MRI significantly by decreasing the time subjects remain in the magnet. In this paper, we formulate a novel method for Joint estimation from Undersampled LinEs in Parallel MRI (J...
Main Authors: | Weller, Daniel S., Polimeni, Jonathan R., Grady, Leo, Wald, Lawrence L., Adalsteinsson, Elfar, Goyal, Vivek K. |
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Other Authors: | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
Format: | Article |
Language: | en_US |
Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2014
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Online Access: | http://hdl.handle.net/1721.1/85876 https://orcid.org/0000-0002-7637-2914 |
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