We aim to facilitate the use of magnetic resonance spectroscopy (MRS) for improved diagnosis and therapy of patients with brain tumours and other space occupying lesions. Spectra, easily acquired alongside commonplace MR imaging (MRI) procedures, uniquely delineate biochemistry of human tissue in situ. Although MRS gives significantly improved brain tumour categorisation, it is not widely used, partly because radiologists have difficulty in interpreting spectral data. We therefore aim to develop a user-friendly computer program for spectral classification. Systems development will be informed by (a) a large "training set" of data contributed by members of the consortium and (b) new spectra acquired under agreed protocols. Automated pattern recognition techniques will be developed for tumour classification together with an intuitive interface. The program will promote wider use of MRS, hence reducing the need for distressing and dangerous brain biopsies.