Document Detail

Super-resolution methods in MRI: Can they improve the trade-off between resolution, signal-to-noise ratio, and acquisition time?
MedLine Citation:
PMID:  22298247     Owner:  NLM     Status:  Publisher    
Improving the resolution in magnetic resonance imaging comes at the cost of either lower signal-to-noise ratio, longer acquisition time or both. This study investigates whether so-called super-resolution reconstruction methods can increase the resolution in the slice selection direction and, as such, are a viable alternative to direct high-resolution acquisition in terms of the signal-to-noise ratio and acquisition time trade-offs. The performance of six super-resolution reconstruction methods and direct high-resolution acquisitions was compared with respect to these trade-offs. The methods are based on iterative back-projection, algebraic reconstruction, and regularized least squares. The algorithms were applied to low-resolution data sets within which the images were rotated relative to each other. Quantitative experiments involved a computational phantom and a physical phantom containing structures of known dimensions. To visually validate the quantitative evaluations, qualitative experiments were performed, in which images of three different subjects (a phantom, an ex vivo rat knee, and a postmortem mouse) were acquired with different magnetic resonance imaging scanners. The results show that super-resolution reconstruction can indeed improve the resolution, signal-to-noise ratio and acquisition time trade-offs compared with direct high-resolution acquisition. Magn Reson Med, 2012. © 2012 Wiley Periodicals, Inc.
Esben Plenge; Dirk H J Poot; Monique Bernsen; Gyula Kotek; Gavin Houston; Piotr Wielopolski; Louise van der Weerd; Wiro J Niessen; Erik Meijering
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-2-1
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:  -     Publication Date:  2012 Feb 
Date Detail:
Created Date:  2012-2-2     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 © 2012 Wiley Periodicals, Inc.
Department of Medical Informatics, Biomedical Imaging Group Rotterdam, Erasmus MC - University Medical Center, Rotterdam, Rotterdam, The Netherlands; Department of Radiology, Biomedical Imaging Group Rotterdam, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands.
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