Analysis of 1H MRSI Data of Brain Tumours Using LCModel & Whole Tissue Representations

Felix Raschke¹, Franklyn Howe¹

This study takes forward recently published work using the widespread analysis tool LCModel for the analysis of 2D MRSI data of gliomas. LCModel is designed to estimate individual metabolite proportions by fitting a linear combination of metabolite spectra to an in vivo MR spectrum, but here is used to fit representations of grade II and grade IV tumour spectra and normal white matter. Colormaps and histograms are used to visualize the fitted tissue proportions and allow the clear discrimination of grade II and grade IV gliomas.