Document Detail


Imaged deconvolution: a method for extracting high-resolution NMR spectra from inhomogeneous fields.
MedLine Citation:
PMID:  17196412     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
We present a novel method for obtaining high resolution NMR spectra in the presence of grossly inhomogeneous magnetic fields, such as those encountered in one-sided access NMR. Our method combines the well-known principle of reference deconvolution with NMR imaging in order to resolve spectral features with frequency resolution orders of magnitude smaller than the prevailing line-broadening due to field inhomogeneity. We demonstrate that, in cases of inhomogeneous field line-broadening more than an order of magnitude larger than the spectral features to be resolved, rather than performing reference deconvolution on the sample as a whole, it is more favourable in terms of SNR to divide the target region of a sample into smaller sub-regions, by means of chemical shift imaging, and then to perform reference deconvolution on the individual sub-region spectra, finally summing the results In this way, significant resolution enhancements can be obtained in the presence of severe magnetic field inhomogeneity without an unacceptable loss in SNR.
Authors:
Meghan E Halse; Paul T Callaghan
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2006-12-28
Journal Detail:
Title:  Journal of magnetic resonance (San Diego, Calif. : 1997)     Volume:  185     ISSN:  1090-7807     ISO Abbreviation:  J. Magn. Reson.     Publication Date:  2007 Mar 
Date Detail:
Created Date:  2007-04-02     Completed Date:  2007-05-31     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9707935     Medline TA:  J Magn Reson     Country:  United States    
Other Details:
Languages:  eng     Pagination:  130-7     Citation Subset:  IM    
Affiliation:
MacDiarmid Institute for Advanced Materials and Nanotechnology, School of Chemical and Physical Sciences, Victoria University of Wellington, Wellington 6001, New Zealand.
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Anisotropy
Computer Simulation
Electromagnetic Fields
Image Interpretation, Computer-Assisted / methods*
Magnetic Resonance Spectroscopy / methods*
Models, Chemical*
Models, Molecular*
Sensitivity and Specificity

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


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