Lung Functional Imaging Based on Medical Electrical Impedance Tomography

A new image reconstructed algorithm was presented for the medical electrical impedance tomography(EIT).First the adaptive multi-grid algorithm was employed by which the sequence of computational grids was successively refined through the posterior error and the adaptive grids refinement,the lung ventilation was imaged considering the field as circle.Then the sensitivity matrix was solved by commercial simulation software COMSOL considering the structure and resistivity of lung,the prior information was adopted to reconstruct the lung conductivity distribution.On the lung ventilation imaging system,two steps were available to reconstruct the functional respiration process image in real-time.The images indicated that a higher accuracy solution of the forward equation and the higher spatial resolution of images could be achieved.