Literature DB >> 11133288

The NMR reciprocity theorem for arbitrary probe geometry.

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Abstract

It is shown that the NMR reciprocity theorem is a variant of a problem considered by Lorentz in 1895. This formulation is quite general and applies to electric-dipole-based as well as coil-based or resonator-based magnetic resonance probes. The reasoning is related to, but different from, the proof of the reciprocity theorem for radiofrequency networks and for transmit/receive antenna systems in telecommunications. The signal-to-noise ratio of the NMR experiment is also discussed in very general terms. Copyright 2001 Academic Press.

Entities:  

Year:  2001        PMID: 11133288     DOI: 10.1006/jmre.2000.2231

Source DB:  PubMed          Journal:  J Magn Reson        ISSN: 1090-7807            Impact factor:   2.229


  5 in total

1.  1H-magnetic resonance spectroscopy in diffuse and focal cervical cord lesions in multiple sclerosis.

Authors:  Barbara Bellenberg; Martin Busch; Nadine Trampe; Ralf Gold; Andrew Chan; Carsten Lukas
Journal:  Eur Radiol       Date:  2013-07-25       Impact factor: 5.315

2.  R: A quantitative measure of NMR signal receiving efficiency.

Authors:  Huaping Mo; John Harwood; Shucha Zhang; Yi Xue; Robert Santini; Daniel Raftery
Journal:  J Magn Reson       Date:  2009-07-09       Impact factor: 2.229

3.  Evaluation of Fumaric Acid and Maleic Acid as Internal Standards for NMR Analysis of Protein Precipitated Plasma, Serum, and Whole Blood.

Authors:  G A Nagana Gowda; Natalie N Hong; Daniel Raftery
Journal:  Anal Chem       Date:  2021-02-04       Impact factor: 6.986

4.  Coil combination for receive array spectroscopy: Are data-driven methods superior to methods using computed field maps?

Authors:  Christopher T Rodgers; Matthew D Robson
Journal:  Magn Reson Med       Date:  2015-03-28       Impact factor: 4.668

5.  Absolute nutrient concentration measurements in cell culture media: (1)H q-NMR spectra and data to compare the efficiency of pH-controlled protein precipitation versus CPMG or post-processing filtering approaches.

Authors:  Luca Goldoni; Tiziana Beringhelli; Walter Rocchia; Natalia Realini; Daniele Piomelli
Journal:  Data Brief       Date:  2016-05-30
  5 in total

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