A Study About Lung Electrical Impedance When Respiratory Process Used Correction CT Images

By injecting an alternating current between sequential pairs of adjacent electrodes around the chest, voltage differences between other pairs of non-injecting electrodes can be recorded and translated into a cross-sectional image of the resistivity distribution within a body using certain image reconstruction algorithm. The advantages of EIT are noninvasive, relatively inexpensive and no cumbersome compared with other imaging techniques. The air volume change in the lung results in a change of lung resistivity. The change is what our research focus on.In this research, we using correction CT images obtain the lung electrical impedance when respiratory process.Segmented the CT images, obtain the model that can be used in the following experimental research. We mainly used level set segmentation in the segmentation step; auxiliary median and morphological filtering process in the second step; overlay method in the last step. To obtain the images model simply, we used a automatic level set segmentation in this paper.Then, using the finite difference method calculates the models. By injecting an alternating current between sequential pairs of adjacent electrodes around the chest, voltage differences between other pairs of non-injecting electrodes can be recorded and translated into a cross-sectional image of the resistivity distribution within a body using certain image reconstruction algorithm. Finally, using the two different models measuring how the image results affected by chest size, electrode location and organizational change.