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High-frequency subband compressed sensing MRI using quadruplet sampling.
MedLine Citation:
PMID:  23280540     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
PURPOSE: To present and validate a new method that formalizes a direct link between k-space and wavelet domains to apply separate undersampling and reconstruction for high- and low-spatial-frequency k-space data. THEORY AND METHODS: High- and low-spatial-frequency regions are defined in k-space based on the separation of wavelet subbands, and the conventional compressed sensing problem is transformed into one of localized k-space estimation. To better exploit wavelet-domain sparsity, compressed sensing can be used for high-spatial-frequency regions, whereas parallel imaging can be used for low-spatial-frequency regions. Fourier undersampling is also customized to better accommodate each reconstruction method: random undersampling for compressed sensing and regular undersampling for parallel imaging. RESULTS: Examples using the proposed method demonstrate successful reconstruction of both low-spatial-frequency content and fine structures in high-resolution three-dimensional breast imaging with a net acceleration of 11-12. CONCLUSION: The proposed method improves the reconstruction accuracy of high-spatial-frequency signal content and avoids incoherent artifacts in low-spatial-frequency regions. This new formulation also reduces the reconstruction time due to the smaller problem size. Magn Reson Med, 2012. © 2012 Wiley Periodicals, Inc.
Authors:
Kyunghyun Sung; Brian A Hargreaves
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-12-27
Journal Detail:
Title:  Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine     Volume:  -     ISSN:  1522-2594     ISO Abbreviation:  Magn Reson Med     Publication Date:  2012 Dec 
Date Detail:
Created Date:  2013-1-2     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8505245     Medline TA:  Magn Reson Med     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2011 Wiley-Liss, Inc.
Affiliation:
Department of Radiology, Stanford University, Stanford, California, USA; Department of Radiological Sciences, University of California Los Angeles, Los Angeles, California, USA. ksung@mednet.ucla.edu.
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