Short TE in vivo (1)H MR spectroscopic imaging at 1.5 T: acquisition and automated spectral analysis.

Journal Article (Journal Article)

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.

Full Text

Duke Authors

Cited Authors

  • Soher, BJ; Vermathen, P; Schuff, N; Wiedermann, D; Meyerhoff, DJ; Weiner, MW; Maudsley, AA

Published Date

  • November 2000

Published In

Volume / Issue

  • 18 / 9

Start / End Page

  • 1159 - 1165

PubMed ID

  • 11118771

International Standard Serial Number (ISSN)

  • 0730-725X

Digital Object Identifier (DOI)

  • 10.1016/s0730-725x(00)00212-5


  • eng

Conference Location

  • Netherlands