Conventional spectroscopic imaging methods have limitations that make acquiring metabolic information for complexly-shaped brain regions a challenge. The following study compares two methods for acquiring the regional metabolic spectra for a complex compartment shape: spectral estimation via the spatial-averaging of voxels, and Spectral Localization by Imaging (SLIM). Both techniques used the original data sets acquired from 3D Echo Planar Spectroscopic Imaging sequences. The two methods were compared, with the results showing that SLIM could provide comparable compartment spectra using fewer voxel acquisitions without a significant drop in spectral quality.
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