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Dataset Information

Spectral decomposition for resolving partial volume effects in MRSI.


ABSTRACT:

Purpose

Estimation of brain metabolite concentrations by MR spectroscopic imaging (MRSI) is complicated by partial volume contributions from different tissues. This study evaluates a method for increasing tissue specificity that incorporates prior knowledge of tissue distributions.

Methods

A spectral decomposition (sDec) technique was evaluated for separation of spectra from white matter (WM) and gray matter (GM), and for measurements in small brain regions using whole-brain MRSI. Simulation and in vivo studies compare results of metabolite quantifications obtained with the sDec technique to those obtained by spectral fitting of individual voxels using mean values and linear regression against tissue fractions and spectral fitting of regionally integrated spectra.

Results

SUBMITTER: Goryawala MZ 

PROVIDER: S-EPMC5843524 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature