Document Detail


Improving non-contrast-enhanced steady-state free precession angiography with compressed sensing.
MedLine Citation:
PMID:  19230013     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Flow-independent angiography offers the ability to produce vessel images without contrast agents. Angiograms are acquired with magnetization-prepared three-dimensional balanced steady-state free precession sequences, where the phase encodes are interleaved and the preparation is repeated before each interleaf. The frequent repetition of the preparation significantly decreases the scan efficiency. The number of excitations can instead be reduced with compressed sensing by exploiting the compressibility of the angiograms. Hence, the phase encodes can be undersampled to save scan time without significantly degrading image quality. These savings can be allotted for preparing the magnetization more often, or alternatively, improving resolution. The enhanced resolution and contrast achieved with the proposed method are demonstrated with lower leg angiograms. Depiction of the vasculature is significantly improved with the increased resolution in the phase-encode plane and higher blood-to-background contrast.
Authors:
Tolga Cukur; Michael Lustig; Dwight G Nishimura
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural    
Journal Detail:
Title:  Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine     Volume:  61     ISSN:  1522-2594     ISO Abbreviation:  Magn Reson Med     Publication Date:  2009 May 
Date Detail:
Created Date:  2009-05-25     Completed Date:  2009-07-27     Revised Date:  2011-02-21    
Medline Journal Info:
Nlm Unique ID:  8505245     Medline TA:  Magn Reson Med     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1122-31     Citation Subset:  IM    
Copyright Information:
(c) 2009 Wiley-Liss, Inc.
Affiliation:
Department of Electrical Engineering, Stanford University, Stanford, California 94305-9510, USA. cukur@stanford.edu
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Data Compression / methods*
Humans
Image Enhancement / methods*
Image Interpretation, Computer-Assisted / methods*
Lower Extremity / blood supply*
Magnetic Resonance Angiography / methods*
Reproducibility of Results
Sensitivity and Specificity
Signal Processing, Computer-Assisted*
Grant Support
ID/Acronym/Agency:
R01 HL039297/HL/NHLBI NIH HHS; R01 HL039297-23/HL/NHLBI NIH HHS; R01 HL075803/HL/NHLBI NIH HHS; R01 HL075803-05/HL/NHLBI NIH HHS
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