Quantitative assessment of myelin water fraction using a multi-compartment model can be useful to improve our understanding of white matter diseases. Our work aims to explore tissue microstructure information contained in voxel signals by analysing voxel compartment volume fraction, frequency shift and $$$T_2^*$$$ from data acquired at 7T. We performed our analysis across from the rostrum to the splenium of corpus callosum. Parameterisation of tissue characteristics can potentially delineate structural and chemical changes in tissue with biologically meaningful information. This in turn provides a framework for new imaging biomarker development in neurodegenerative diseases and disorders, such as multiple sclerosis
This abstract and the presentation materials are available to members only; a login is required.