Automated classification of H MRS brain tumour spectra: a linear discriminant analysis comparison of LCModel quantification versus complete spectra
نویسندگان
چکیده
K. S. Opstad, C. Ladroue, J. R. Griffiths, F. A. Howe Cancer Research UK Biomedical Magnetic Resonance Research Group, St. George's Hospital Medical School, London, United Kingdom Introduction In this study we investigated the use of pattern recognition techniques, using leave-one-out linear discriminant analysis (LDA) of single voxel H MRS, to distinguish metastases from glioblastomas; so far unachieved by current pattern recognition studies. A comparison is made of i) LCModel quantification versus the whole spectra, ii) the effects of combining PRESS and STEAM data versus STEAM data alone; and iii) the effects of using principal component analysis (PCA) versus manually chosen metabolite concentrations from the LCModel quantification.
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