Open AccessReference deconvolution: A simple and effective method for resolution enhancement in nuclear magnetic resonance spectroscopy
Author(s) -
Metz K. R.,
Lam M. M.,
Webb A. G.
Publication year - 2000
Publication title -
concepts in magnetic resonance
Language(s) - English
Resource type - Journals
eISSN - 1099-0534
pISSN - 1043-7347
DOI - 10.1002/(sici)1099-0534(2000)12:1<21::aid-cmr4>3.0.co;2-r
Subject(s) - deconvolution , nuclear magnetic resonance , spectroscopy , resolution (logic) , free induction decay , nuclear magnetic resonance spectroscopy , chemistry , magnetic field , line (geometry) , computational physics , field (mathematics) , relaxation (psychology) , measure (data warehouse) , spectral resolution , spectral line , physics , spin echo , optics , magnetic resonance imaging , computer science , mathematics , artificial intelligence , quantum mechanics , medicine , psychology , social psychology , geometry , database , astronomy , pure mathematics , radiology
Linewidths and line shapes are key criteria determining the utility of a nuclear magnetic resonance (NMR) spectrum, and considerable effort is usually devoted to shimming the magnetic field ( B 0 ) to ensure optimum resolution. However, even if the external field is almost perfectly homogeneous, the sample itself can induce gradients owing to susceptibility effects from its overall shape or internal heterogeneity. Thus, magnetic field gradients nearly always contribute significantly to the linewidths and shapes in an NMR spectrum. Reference deconvolution is a technique which uses the shape of a single resonance line to measure the actual frequency distribution produced by the local B 0 inhomogeneity and then deconvolves that distribution from the whole spectrum. It is a simple linear process which requires no prior knowledge of the number of lines, their intensities, or their relaxation characteristics. No fitting procedures are used. This article reviews the reference deconvolution method, demonstrates its application to one‐dimensional NMR spectroscopy, and discusses the tradeoffs between resolution and signal/noise. ©2000 John Wiley & Sons, Inc. Concepts Magn Reson 12: 21–42, 2000