Literature DB >> 18583080

A nonlinear regularization strategy for GRAPPA calibration.

Mark Bydder1, Youngkyoo Jung.   

Abstract

A regularization strategy is described for generalized autocalibrating partially parallel acquisition (GRAPPA) that allows successful calibration using a small number of autocalibration signals (ACS). The approach requires certain nonlinear relationships between the GRAPPA coefficients to be satisfied, which increases the redundancy so that fewer ACS need to be acquired.

Mesh:

Year:  2008        PMID: 18583080     DOI: 10.1016/j.mri.2008.05.005

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  4 in total

1.  Derivative encoding for parallel magnetic resonance imaging.

Authors:  Jun Shen
Journal:  Med Phys       Date:  2011-10       Impact factor: 4.071

Review 2.  Parallel MR imaging.

Authors:  Anagha Deshmane; Vikas Gulani; Mark A Griswold; Nicole Seiberlich
Journal:  J Magn Reson Imaging       Date:  2012-07       Impact factor: 4.813

3.  Sparsity-promoting calibration for GRAPPA accelerated parallel MRI reconstruction.

Authors:  Daniel S Weller; Jonathan R Polimeni; Leo Grady; Lawrence L Wald; Elfar Adalsteinsson; Vivek K Goyal
Journal:  IEEE Trans Med Imaging       Date:  2013-04-09       Impact factor: 10.048

4.  KerNL: Kernel-Based Nonlinear Approach to Parallel MRI Reconstruction.

Authors:  Jingyuan Lyu; Ukash Nakarmi; Dong Liang; Jinhua Sheng; Leslie Ying
Journal:  IEEE Trans Med Imaging       Date:  2018-08-07       Impact factor: 10.048

  4 in total

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