Literature DB >> 3831691

Field inhomogeneity correction and data processing for spectroscopic imaging.

A A Maudsley, S K Hilal.   

Abstract

To obtain separate NMR images of spatially resolved high-resolution chemical-shift information the effects of magnetic field inhomogeneity must be accounted for. A suitable correction method is described which relies on first generating a plot of the magnetic field distribution. Using these data the spectroscopic imaging data can be processed to display the spatial distributions of separate resonances without distortion from field inhomogeneity. The field plot is obtained by using the same data acquisition sequence while imaging a phantom object or in particular cases the plot may be derived from the spectroscopic imaging data set itself. The correction procedure is illustrated using proton in vivo imaging of a cat. Some additional data processing techniques are presented which offer alternative methods of displaying spectroscopic imaging data.

Mesh:

Year:  1985        PMID: 3831691     DOI: 10.1002/mrm.1910020305

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  3 in total

1.  Grid-free interactive and automated data processing for MR chemical shift imaging data.

Authors:  Yann Le Fur; François Nicoli; Maxime Guye; Sylviane Confort-Gouny; Patrick J Cozzone; Frank Kober
Journal:  MAGMA       Date:  2009-11-03       Impact factor: 2.310

2.  1H-spectroscopic imaging with read gradient during acquisition in inhomogeneous fields: analysis, measurement strategy, and data processing.

Authors:  J Weis; A Ericsson; A Hemmingsson
Journal:  MAGMA       Date:  1997-09       Impact factor: 2.310

3.  Glutamine/glutamate metabolism studied with magnetic resonance spectroscopic imaging for the characterization of adrenal nodules and masses.

Authors:  Suzan M Goldman; Thiago F Nunes; Homero J F Melo; Claudio Dalavia; Denis Szejnfeld; Claudio Kater; Cassio Andreoni; Jacob Szejnfeld; Sergio A Ajzen
Journal:  Biomed Res Int       Date:  2013-10-02       Impact factor: 3.411

  3 in total

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