Analysis of 1H MRSI Data of Brain Tumours Using LCModel &
Whole Tissue Representations
Felix Raschke1, Franklyn Howe1
1Clinical Sciences, St George's
University of London, London, United Kingdom
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.
