Sparsity-Promoting Calibration for GRAPPA Accelerated Parallel MRI Reconstruction

Sparsity-Promoting Calibration for GRAPPA Accelerated Parallel MRI Reconstruction

The amount of calibration data needed to produce images of adequate quality can prevent auto-calibrating parallel imaging reconstruction methods like generalized autocalibrating partially parallel acquisitions (GRAPPA) from achieving a high total acceleration factor. To improve the quality of calibr...

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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/1721.1/85875
https://orcid.org/0000-0002-7637-2914

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http://hdl.handle.net/1721.1/85875
https://orcid.org/0000-0002-7637-2914

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