Short TE in vivo 1H MR spectroscopic imaging at 1.5 T: Acquisition and automated spectral analysis

Brian J. Soher, Peter Vermathen, Norbert Schuff, Dirk Wiedermann, Dieter J. Meyerhoff, Michael W. Weiner, Andrew A. Maudsley

Research output: Contribution to journalArticle

41 Scopus citations

Abstract

Spectral analysis of short TE in vivo proton magnetic resonance spectroscopic imaging (MRSI) data are complicated by the presence of spectral overlap, low signal to noise and uncharacterized signal contributions. In this study, it is shown that an automated data analysis method can be used to generate metabolite images from MRSI data obtained from human brain at TE = 25 ms and 1.5 T when optimized pulse sequences and a priori metabolite knowledge are used. The analysis approach made use of computer simulation methods to obtain a priori spectral information of the metabolites of interest and utilized a combination of parametric spectral modeling and non-parametric signal characterization for baseline fitting. This approach was applied to data from optimized PRESS-SI and multi-slice spin-echo SI acquisitions, for which sample spectra and metabolite images are shown. (C) 2000 Elsevier Science Inc.

Original languageEnglish (US)
Pages (from-to)1159-1165
Number of pages7
JournalMagnetic Resonance Imaging
Volume18
Issue number9
DOIs
StatePublished - 2000

Keywords

  • In vivo MR spectroscopic imaging
  • Parametric spectral analysis
  • Proton
  • Short TE

ASJC Scopus subject areas

  • Biophysics
  • Clinical Biochemistry
  • Structural Biology
  • Radiology Nuclear Medicine and imaging
  • Condensed Matter Physics

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