Friday 29th of March 2024
 

Image Registration in Digital Images for Variability in VEP



The visually evoked potential (VEP) is the measure of cortically evoked electrical activity that provides information about the integrity of the optic nerve and the primary visual cortex. The analysis of P-100 latency and amplitude measurement variability based on visual pathway conduction in VEP has been shown to have clinical utility. The reliable measurement of VEP techniques to do are less well developed. This work presents a technique for a reliable extraction P-100 latency and amplitude using a wavelet based technique. 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. Several types of VEPs are routinely used in a clinical setting. These primarily differ in a mode of stimulus presentation.. This registration can be carried out for VEP waveforms of the same subject taken at different times, waves taken under different modalities, and wave pattern which have only a partial overlap area. This research focused on investigating potential registration algorithms for transforming partially overlapping VEP waves which have only a partially overlapping waveform of the retina into a single overlapping composite waveform to aid physicians in assessment of retinal health, and on registering vectors from known common points in the images to be registered. All potential transforms between waveforms are generated, with the correct registration producing a tight cluster of data points in the space of transform coefficients. The technique has been applied to different types of retinal waveforms – B/W checker board (pattern reversal),B/W checker board (flash),LED Goggles (pattern reversal) and LED Goggles(flash) stimulations and the technique can be readily used to provide cross – modal.

Keywords: Electro diagnostic instrument, VEP stimulator, Image Registration, Discrete wavelet transform and VEP signals

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