Document Detail


Super-resolved spatially encoded single-scan 2D MRI.
MedLine Citation:
PMID:  20512863     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Single-scan MRI underlies a wide variety of clinical and research activities, including functional and diffusion studies. Most common among these "ultrafast" MRI approaches is echo-planar imaging. Notwithstanding its proven success, echo-planar imaging still faces a number of limitations, particularly as a result of susceptibility heterogeneities and of chemical shift effects that can become acute at high fields. The present study explores a new approach for acquiring multidimensional MR images in a single scan, which possesses a higher built-in immunity to this kind of heterogeneity while retaining echo-planar imaging's temporal and spatial performances. This new protocol combines a novel approach to multidimensional spectroscopy, based on the spatial encoding of the spin interactions, with image reconstruction algorithms based on super-resolution principles. Single-scan two-dimensional MRI examples of the performance improvements provided by the resulting imaging protocol are illustrated using phantom-based and in vivo experiments.
Authors:
Noam Ben-Eliezer; Michal Irani; Lucio Frydman
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Publication Detail:
Type:  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:  63     ISSN:  1522-2594     ISO Abbreviation:  Magn Reson Med     Publication Date:  2010 Jun 
Date Detail:
Created Date:  2010-05-31     Completed Date:  2010-09-23     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8505245     Medline TA:  Magn Reson Med     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1594-600     Citation Subset:  IM    
Copyright Information:
(c) 2010 Wiley-Liss, Inc.
Affiliation:
Chemical Physics Department, Weizmann Institute, Rehovot, Israel.
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Animals
Magnetic Resonance Imaging / methods*
Mice
Phantoms, Imaging*

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