IDEA OF ELECTRICAL TOMOGRAPHY SYSTEM FOR MONITORING LUNG VENTILATION

[1]  S. Osher,et al.  Level Set Methods for Optimization Problems Involving Geometry and Constraints I. Frequencies of a T , 2001 .

[2]  T. Rymarczyk,et al.  The Shape Reconstruction of Unknown Objects for Inverse Problems , 2012 .

[3]  Samuli Siltanen,et al.  Nonlinear Inversion from Partial EIT Data: Computational Experiments , 2013, 1303.3162.

[4]  M Wang.  Industrial Tomography: Systems and Applications , 2015 .

[5]  Eric T. Chung,et al.  Electrical impedance tomography using level set representation and total variational regularization , 2005 .

[6]  A. Calderón,et al.  On an inverse boundary value problem , 2006 .

[7]  James A. Sethian,et al.  Level Set Methods and Fast Marching Methods , 1999 .

[8]  William R B Lionheart,et al.  Uses and abuses of EIDORS: an extensible software base for EIT , 2006, Physiological measurement.

[9]  T. Rymarczyk.  Characterization of the shape of unknown objects by inverse numerical methods , 2012 .

[10]  Samuli Siltanen,et al.  Linear and Nonlinear Inverse Problems with Practical Applications , 2012, Computational science and engineering.

[11]  Ronald Fedkiw,et al.  Level set methods and dynamic implicit surfaces , 2002, Applied mathematical sciences.

[12]  J. Sethian,et al.  Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations , 1988 .

[13]  Armin Lechleiter,et al.  Newton regularizations for impedance tomography: convergence by local injectivity , 2008 .

[14]  Tomasz Rymarczyk,et al.  New electrical tomographic method to determine dampness in historical buildings , 2016 .