Combining EEG signals and MRI images for brain mapping using interpolation techniques; A comparative study

EEG signals contain several useful information about brain electrical activity, the most important problem of EEG signals is the lack of spatial information and therefore hiding much important information about the signals. The aim of this study is to compare various methods of combining EEG signals and MRI images for visualizing these signals. The software developed for this study contains three dimensional (3D) brain mapping modules. The input to the program is standard clinical individual patient data recorded using digital EEG and magnetic resonance imaging (MRI). MRI images were segmented using histogram and 3D images of the MRI were constructed using patches. The electrical brain field was generated from amplitude measurements using three kinds of interpolation, the Spherical Splines, Tri-linear and Hardie algorithm. Finally the interpolated surface was represented on the 3D images of the MRI. Results show that the Spherical Splines make better results compared to other algorithms.