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Nuclear Magnetic Resonance (NMR) is widely used technique i n cancer diagnosis and treatment planning. It is employed to search for the high con centration regions of particular metabolites, which are directly related to the concentrati on of cancer cells. NMR signal maybe be characterized by a set of peaks which are representation o f every distinct metabolite. Area under peak must be calculated in order to obtain proper infor mation about metabolite amount. Commercially available software allows for the analysis of one-peak-in-time only. The proposed technique, based on Gaussian Mixture Model (GMM), allows fo r m deling all-peaks-in-time, and corrects after the neighboring peaks giving more accura te estimates of metabolite concentration. The resulting software processes NMR signal from t he very beginning up to the final result, which is given in a form of so called metabolite map.

Mixture model of NMR - its application to diagnosis and treatment of brain cancer