Abstract #1929

In-vivo characterization of grey matter microstructure at 3T from the transverse component of the MRI signal

Antoine Lutti¹

¹LREN, Dept. of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland

The characterization of brain microstructure from MRI data requires the development of specific MRI tissue biomarkers and of advanced models linking microscopic tissue properties to MRI signals. We apply the Anderson-Weiss theory, which describes the transverse relaxation of the MRI signal as a function of tissue microstructure, on in-vivo MRI data acquired at 3T. In grey matter, parameter estimates show a strong correlation with histological measures of iron concentration. The time constants provided by the model yield realistic estimates of microscopic compartment size. These results offer a promising perspective for the histological assessment of brain tissue in-vivo using MRI.

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