An Image Reconstruction Algorithm of EIT Based on Pulmonary Prior Information

In order to get the distribution of human lung tissue,according to CT scanning image of human lung,a pulmonary model of human was established combined with the structure property of human lung tissue using the software COMSOL.Combining with the conductivity distribution information of human tissue and organ,an image reconstruction method of electrical impedance tomography based on pulmonary prior information was proposed using conjugate gradient method.Simulation results show that the uniformity index P of the sensing field distribution is re- duced from P=34.218 of the round field to P=15.568 based on the pulmonary model.The proposed algorithm improves the uniformity of the sensing field,the image resolution of the conductivity distribution of pulmonary tissue and the quality of reconstruction image based on pulmonary prior information markedly.