Literature DB >> 8057811

Automated processing for proton spectroscopic imaging using water reference deconvolution.

A A Maudsley1, Z Wu, D J Meyerhoff, M W Weiner.   

Abstract

Automated formation of MR spectroscopic images (MRSI) is necessary before routine application of these methods is possible for in vivo studies; however, this task is complicated by the presence of spatially dependent instrumental distortions and the complex nature of the MR spectrum. A data processing method is presented for completely automated formation of in vivo proton spectroscopic images, and applied for analysis of human brain metabolites. This procedure uses the water reference deconvolution method (G. A. Morris, J. Magn. Reson. 80, 547(1988)) to correct for line shape distortions caused by instrumental and sample characteristics, followed by parametric spectral analysis. Results for automated image formation were found to compare favorably with operator dependent spectral integration methods. While the water reference deconvolution processing was found to provide good correction of spatially dependent resonance frequency shifts, it was found to be susceptible to errors for correction of line shape distortions. These occur due to differences between the water reference and the metabolite distributions.

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Year:  1994        PMID: 8057811     DOI: 10.1002/mrm.1910310603

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


  6 in total

1.  Fast quantification of proton magnetic resonance spectroscopic imaging with artificial neural networks.

Authors:  Himanshu Bhat; Balasrinivasa Rao Sajja; Ponnada A Narayana
Journal:  J Magn Reson       Date:  2006-09-01       Impact factor: 2.229

2.  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

3.  Metabolic and pathological effects of temporal lobe epilepsy in rat brain detected by proton spectroscopy and imaging.

Authors:  T Tokumitsu; A Mancuso; P R Weinstein; M W Weiner; S Naruse; A A Maudsley
Journal:  Brain Res       Date:  1997-01-02       Impact factor: 3.252

4.  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

Review 5.  Proton magnetic resonance spectroscopy in multiple sclerosis.

Authors:  Balasrinivasa R Sajja; Jerry S Wolinsky; Ponnada A Narayana
Journal:  Neuroimaging Clin N Am       Date:  2009-02       Impact factor: 2.264

6.  Comparison of inter subject variability and reproducibility of whole brain proton spectroscopy.

Authors:  Tonny V Veenith; Marius Mada; Eleanor Carter; Julia Grossac; Virginia Newcombe; Joanne Outtrim; Victoria Lupson; Sridhar Nallapareddy; Guy B Williams; Sulaiman Sheriff; David K Menon; Andrew A Maudsley; Jonathan P Coles
Journal:  PLoS One       Date:  2014-12-17       Impact factor: 3.240

  6 in total

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