Image Registration for Digital Brain Mapping Images in Measurements Problems Associated with Computerized EEG

Abstract

The future of quantitative EEG for clinical applications lies, undoubtedly, in the coupling of digital methods of signal analysis and of image processing. EEG Brain map can be used for a more accurate way of source localization. To properly calculate the location of the source, the brain map should be accurate as possible. Although a brain map is based on measurements are done only on the few places of electrodes are placed and a large part of the brain map is reconstructed from the measured values. Mathematical techniques working with these large arrays of numbers are used to do filtering, frequency and amplitude analysis and color mapping. This approach is called quantitative EEG. To reconstruct the values between the electrodes use is made of interpolation techniques. These are mathematical techniques to calculate the most possible value between the electrodes based on the value on the electrodes and distance of these electrodes. The challenge of image registration (the process of correctly aligning two or more images accounting for all possible source of distortion) is of general interest in image processing. This registration can be carried out for computerized EEG wave pattern which have only a partial overlap area. This research focused on investigating potential registration algorithm for transforming partially overlapping EEG waves which have only a partially overlapping waveform of the brain mapping images. The potential transforms between waveforms are generated, with the correct registration producing a tight cluster of data points in the space of transform coefficients.