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Computational acceleration for MR image reconstruction in partially parallel imaging.

Authors
  • Ye, Xiaojing
  • Chen, Yunmei
  • Huang, Feng
Type
Published Article
Journal
IEEE Transactions on Medical Imaging
Publisher
Institute of Electrical and Electronics Engineers
Publication Date
May 01, 2011
Volume
30
Issue
5
Pages
1055–1063
Identifiers
DOI: 10.1109/TMI.2010.2073717
PMID: 20833599
Source
Medline
License
Unknown

Abstract

In this paper, we present a fast numerical algorithm for solving total variation and l(1) (TVL1) based image reconstruction with application in partially parallel magnetic resonance imaging. Our algorithm uses variable splitting method to reduce computational cost. Moreover, the Barzilai-Borwein step size selection method is adopted in our algorithm for much faster convergence. Experimental results on clinical partially parallel imaging data demonstrate that the proposed algorithm requires much fewer iterations and/or less computational cost than recently developed operator splitting and Bregman operator splitting methods, which can deal with a general sensing matrix in reconstruction framework, to get similar or even better quality of reconstructed images.

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