Automated spectral analysis III: Application to in vivo proton MR spectroscopy and spectroscopic imaging

Brian J. Soher, Karl Young, Varanavasi Govindaraju, Andrew A. Maudsley

Research output: Contribution to journalArticle

222 Scopus citations

Abstract

An automated method for analysis of in vivo proton magnetic resonance (MR) spectra and reconstruction of metabolite distributions from MR spectroscopic imaging (MRSI) data is described. A parametric spectral model using acquisition specific, a priori information is combined with a wavelet- based, nonparametric characterization of baseline signals. For image reconstruction, the initial fit estimates were additionally modified according to a priori spatial constraints. The automated fitting procedure was applied to four different examples of MRS data obtained at 1.5 T and 4.1 T. For analysis of major metabolites at medium TE values, the method was shown to perform reliably even in the presence of large baseline signals and relatively poor signal-to-noise ratios typical of in vivo proton MRSI. Identification of additional metabolites was also demonstrated for short TE data. Automated formation of metabolite images will greatly facilitate and expand the clinical applications of MR spectroscopic imaging.

Original languageEnglish (US)
Pages (from-to)822-831
Number of pages10
JournalMagnetic Resonance in Medicine
Volume40
Issue number6
DOIs
StatePublished - Dec 1998

Keywords

  • Brain
  • In vivo MR spectroscopic imaging
  • Parametric spectral analysis
  • Proton

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology

Fingerprint Dive into the research topics of 'Automated spectral analysis III: Application to in vivo proton MR spectroscopy and spectroscopic imaging'. Together they form a unique fingerprint.

  • Cite this