EIT Imaging Regularization Based on Spectral Graph Wavelets

Schullcke, Benjamin; Gong, Bo; Krüger-Ziolek, Sabine und Moeller, Knut (2016): EIT Imaging Regularization Based on Spectral Graph Wavelets. In: Xiv Mediterranean Conference On Medical and Biological Engineering and Computing 2016, Bd. 57: S. 1274-1278

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.

• Dokumententyp: Zeitschriftenartikel
• Fakultät: Medizin
• Themengebiete: 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit
• ISSN: 1680-0737
• Sprache: Englisch