Robust analysis of short echo time 1H MRSI of human brain

X. P. Zhu, K. Young, A. Ebel, B. J. Sober, L. Kaiser, G. Matson, W. M. Weiner, Norbert Schuff

    Research output: Contribution to journalArticlepeer-review


    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 (PC1) 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 PC1 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.
    Original languageEnglish
    Pages (from-to)706-711
    Number of pages5
    JournalMagnetic Resonance in Medicine
    Issue number3
    Publication statusPublished - Mar 2006


    • Brain
    • Noise reduction
    • Principal component analysis
    • Short TE magnetic resonance spectroscopic imaging
    • Spectroscopy


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