6533b828fe1ef96bd128833e

RESEARCH PRODUCT

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

Montserrat RoblesJuan M. García-gómezAlfons Juan-císcarSabine Van Huffel

subject

PhysicsNuclear magnetic resonancemedicine.diagnostic_testMaximum likelihoodExpectation–maximization algorithmStatisticsmedicineBiochemical compositionMagnetic resonance imagingNuclear magnetic resonance spectroscopyMixture modelSpectral line

description

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.

yearjournalcountryeditionlanguage
2007-01-01
https://doi.org/10.1007/978-3-540-72849-8_34