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Lung Electrical Impedance Tomography Simulation Based On Comsol

Posted on:2013-01-24Degree:MasterType:Thesis
Country:ChinaCandidate:X HouFull Text:PDF
GTID:2214330362460814Subject:Control Engineering
Abstract/Summary:PDF Full Text Request
Medical electrical impedance tomography (EIT) technique is an important research area in current biomedical research. A 16-electrode circle field simulation model was established using COMSOL. How the finite element subdivision density affect the measurement electrode voltage was analyzed by three cases. The forward problem of the imaging object in different locations of the field was analyzed. According to the conjugate gradient algorithm and the forward problem simulation data, image reconstruction of objects with different location and different size was implemented using Matlab. Convergence of conjugate gradient algorithm was analyzed. By using the iteration stop condition, circle field reconstruction experiment was done. The algorithm precision on the one object and two objects was evaluated. By combining the human lung tissue structure characteristics and using human chest CT scan images, a more precise chest simulation model was established and the lung continuous breath process was image reconstructed. The reconstructed image quality of breath process was analyzed comparatively by using three different models. The relationship between conductivity and measurement electrode voltage in lung breath process was studied. The EIT voltage matrix data in lung function image process was analyzed using wavelet analysis. The heart-lung information and frequency characteristic was got and the low frequency and high frequency information was extracted to support clinical research.
Keywords/Search Tags:EIT, COMSOL, Finite Element Subdivision, Forward Problem, Image Reconstruction, Wavelet Analysis
PDF Full Text Request
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