@article {IOPORT.05899001,
    author       = {Binczyk, Franciszek and Pola\'nska, Joanna and Tarnawski, Rafa{\l}},
    title        = {Mixture model of NMR -- its application to diagnosis and treatment of brain cancer.},
    year         = {2010},
    journal      = {Archives of Control Sciences},
    volume       = {20},
    number       = {4},
    issn         = {1230-2384},
    pages        = {457-472},
    publisher    = {Polish Academy of Sciences, Committee of Automatic Control and Robotics; Institute of Automatic Control, Silesian University of Technology, Gliwice},
    doi          = {10.2478/v10170-010-0026-3},
    abstract     = {Summary: Nuclear Magnetic Resonance (NMR) is widely used technique in cancer diagnosis and treatment planning. It is employed to search for the high concentration regions of particular metabolites, which are directly related to the concentration of cancer cells. NMR signals may be characterized by a set of peaks which are representations of every distinct metabolite. The area under the peak must be calculated in order to obtain proper information about the metabolite amount. Commercially available software allows for the analysis of one-peak-in-time only. The proposed technique, based on a Gaussian mixture model (GMM), allows for modeling all-peaks-in-time, and corrects after the neighboring peaks giving more accurate estimates of metabolite concentration. The resulting software processes NMR signals from the very beginning up to the final result, which is given in a form of so called metabolite map.},
    identifier   = {05899001},
}