论文信息 - Modelling of Magnetic Resonance Spectra Using Mixtures for Binned and Truncated Data

Modelling of Magnetic Resonance Spectra Using Mixtures for Binned and Truncated Data

Magnetic Resonance Spectroscopy (MRS) provides the biochemical composition of a tissue under study. This information is useful for the in-vivo diagnosis of brain tumours. Prior knowledge of the relative position of the organic compound contributions in the MRS suggests the development of a probabilistic mixture model and its EM-based Maximum Likelihood Estimation for binned and truncated data. Experiments for characterizing and classifying Short Time Echo (STE) spectra from brain tumours are reported.

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