Electrode Positioning And Visualization Based On Realistic Head Model

Brain electrode positioning is one of the basic problems of the EEG sourcelocalization field. It provides important reference data for medical pathological diagnosisand clinical treatment. In this paper, we propose two brain electrode positioning methods:based on monocular vision and kinect technology. Around the electrode positioning andvisual based on a realistic head model, we have done the following research:Firstly, this paper realized electrode head position of real human brain based onmonocular vision. For EEG acquisition environment, we design a new brain electrodeauxiliary maker. With it we can more accurately, quickly retrieved the coordinates andelectrode properties of brain electrodes in the image; with monocular visual positioningbased on the P4P algorithm, realized the brain electrode positioning in single image,positioning distance accuracy within 1.8 mm.Secondly, this paper puts forward a brain electrode positioning based on the kinecttechnology. Through calibrate the intrinsics of the RGB and IR cameras, complete atwo-camera image correction by binocular calibration method, and get the brain electrodedepth information, combine with IR camera projection relationship between the spatialorientation of the brain electrode, positioning distance accuracy within 4 mm.Finally, developed the brain electrode positioning and visualization software underVC++6.0 with vtk, (the visualization toolkit). Realized the brain electrodes positioningbased on monocular vision and kinect. Through marching cubes surface renderingalgorithm to achieve a realistic head model structure, and display brain electrode positionin a realistic head model. The software is simple and easy to operate, high stability, perfectfunction.