XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016 pp 1280-1284 | Cite as
EIT Imaging Regularization Based on Spectral Graph Wavelets
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Abstract
Electrical Impedance Tomography (EIT) intends to reveal tissue conductivity distributions from measured electrical boundary conditions. This is an ill-posed inverse problem usually solved under the finite element method (FEM) framework. Wavelet transforms (WT) are used in many areas of medical imaging. To integrate wavelet techniques into the FEM framework, we view the finite element meshes as undirected graphs and introduce the spectral graph wavelet transform for regularization. Simulation results indicate that the spectral graph wavelet based regularization method produces smoother images than standard sparse regularization.
Keywords
Electrical Impedance Tomography Finite Element Method Spectral graph wavelet Inverse problemPreview
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