Accelerated parallel magnetic resonance imaging reconstruction using joint estimation with a sparse signal model

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...

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Bibliographic Details
Main Authors: Weller, Daniel S., Polimeni, Jonathan R., Grady, Leo, Wald, Lawrence L., Adalsteinsson, Elfar, Goyal, Vivek K.
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
Online Access:http://hdl.handle.net/1721.1/85876
https://orcid.org/0000-0002-7637-2914

Internet

http://hdl.handle.net/1721.1/85876
https://orcid.org/0000-0002-7637-2914

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