Document Detail


Parallel image reconstruction using B-spline approximation (PROBER).
MedLine Citation:
PMID:  17763349     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
A new reconstruction method for parallel MRI called PROBER is proposed. The method PROBER works in an image domain similar to methods based on Sensitivity Encoding (SENSE). However, unlike SENSE, which first estimates the spatial sensitivity maps, PROBER approximates the reconstruction coefficients directly by B-splines. Also, B-spline coefficients are estimated at once in order to minimize the reconstruction error instead of estimating the reconstruction in each pixel independently (as in SENSE). This makes the method robust to noise in reference images. No presmoothing of reference images is necessary. The number of estimated parameters is reduced, which speeds up the estimation process. PROBER was tested on simulated, phantom, and in vivo data. The results are compared with commercial implementations of the algorithms SENSE and GRAPPA (Generalized Autocalibrating Partially Parallel Acquisitions) in terms of elapsed time and reconstruction quality. The experiments showed that PROBER is faster than GRAPPA and SENSE for images wider than 150x150 pixels for comparable reconstruction quality. With more basis functions, PROBER outperforms both SENSE and GRAPPA in reconstruction quality at the cost of slightly increased computational time.
Authors:
Jan Petr; Jan Kybic; Michael Bock; Sven Müller; Václav Hlavác
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Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine     Volume:  58     ISSN:  0740-3194     ISO Abbreviation:  Magn Reson Med     Publication Date:  2007 Sep 
Date Detail:
Created Date:  2007-09-05     Completed Date:  2007-12-07     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8505245     Medline TA:  Magn Reson Med     Country:  United States    
Other Details:
Languages:  eng     Pagination:  582-91     Citation Subset:  IM    
Copyright Information:
Copyright (c) 2007 Wiley-Liss, Inc.
Affiliation:
Czech Technical University in Prague, Faculty of Electrical Engineering, Department of Cybernetics, Center for Machine Perception, Praha, Czech Republic. petrj5@cmp.felk.cvut.cz
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MeSH Terms
Descriptor/Qualifier:
Adult
Algorithms
Artifacts
Calibration
Computer Simulation
Contrast Media
Gadolinium DTPA / diagnostic use
Head / anatomy & histology
Humans
Image Enhancement / methods
Image Processing, Computer-Assisted / methods*,  statistics & numerical data
Magnetic Resonance Imaging / methods*
Phantoms, Imaging
Thorax / anatomy & histology
Time Factors
Chemical
Reg. No./Substance:
0/Contrast Media; 80529-93-7/Gadolinium DTPA

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


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