Document Detail


Computational acceleration for MR image reconstruction in partially parallel imaging.
MedLine Citation:
PMID:  20833599     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
Xiaojing Ye; Yunmei Chen; Feng Huang
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Publication Detail:
Type:  Journal Article     Date:  2010-09-07
Journal Detail:
Title:  IEEE transactions on medical imaging     Volume:  30     ISSN:  1558-254X     ISO Abbreviation:  IEEE Trans Med Imaging     Publication Date:  2011 May 
Date Detail:
Created Date:  2011-05-03     Completed Date:  2011-08-18     Revised Date:  2012-04-24    
Medline Journal Info:
Nlm Unique ID:  8310780     Medline TA:  IEEE Trans Med Imaging     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1055-63     Citation Subset:  IM    
Affiliation:
Department of Mathematics, University of Florida, Gainesville, FL 32611, USA. xye@ufl.edu
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Brain / anatomy & histology
Humans
Image Processing, Computer-Assisted / methods*
Least-Squares Analysis
Magnetic Resonance Imaging / methods*
Wavelet Analysis*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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