Robust analysis of short echo time (1)H MRSI of human brain.

Published

Journal Article

Short echo time proton MR Spectroscopic Imaging (MRSI) suffers from low signal-to-noise ratio (SNR), limiting accuracy to estimate metabolite intensities. A method to coherently sum spectra in a region of interest of the human brain by appropriate peak alignment was developed to yield a mean spectrum with increased SNR. Furthermore, principal component (PC) spectra were calculated to estimate the variance of the mean spectrum. The mean or alternatively the first PC (PC(1)) spectrum from the same region can be used for quantitation of peak areas of metabolites in the human brain at increased SNR. Monte Carlo simulations showed that both mean and PC(1) spectra were more accurate in estimating regional metabolite concentrations than solutions that regress individual spectra against the tissue compositions of MRSI voxels. Back-to-back MRSI studies on 10 healthy volunteers showed that mean spectra markedly improved reliability of brain metabolite measurements, most notably for myo-inositol, as compared to regression methods.

Full Text

Duke Authors

Cited Authors

  • Zhu, XP; Young, K; Ebel, A; Soher, BJ; Kaiser, L; Matson, G; Weiner, WM; Schuff, N

Published Date

  • March 2006

Published In

Volume / Issue

  • 55 / 3

Start / End Page

  • 706 - 711

PubMed ID

  • 16463345

Pubmed Central ID

  • 16463345

International Standard Serial Number (ISSN)

  • 0740-3194

Digital Object Identifier (DOI)

  • 10.1002/mrm.20805

Language

  • eng

Conference Location

  • United States