Title :
Direct EIT Reconstructions of Complex Admittivities on a Chest-Shaped Domain in 2-D
Author :
Hamilton, S.J. ; Mueller, Jennifer L.
Author_Institution :
Dept. of Math., Colorado State Univ., Fort Collins, CO, USA
Abstract :
Electrical impedance tomography (EIT) is a medical imaging technique in which current is applied on electrodes on the surface of the body, the resulting voltage is measured, and an inverse problem is solved to recover the conductivity and/or permittivity in the interior. Images are then formed from the reconstructed conductivity and permittivity distributions. In the 2-D geometry, EIT is clinically useful for chest imaging. In this work, an implementation of a D-bar method for complex admittivities on a general 2-D domain is presented. In particular, reconstructions are computed on a chest-shaped domain for several realistic phantoms including a simulated pneumothorax, hyperinflation, and pleural effusion. The method demonstrates robustness in the presence of noise. Reconstructions from trigonometric and pairwise current injection patterns are included.
Keywords :
bioelectric potentials; electric impedance imaging; haemodynamics; image reconstruction; lung; medical image processing; noise; phantoms; tomography; 2D domain; 2D geometry; D-bar method; body surface; chest imaging; chest-shaped domain; complex admittivities; conductivity distribution; direct EIT reconstructions; electrical impedance tomography; electrodes; hyperinflation simulation; inverse problem; medical imaging technique; noise; pairwise current injection patterns; permittivity distribution; phantoms; pleural effusion simulation; pneumothorax simulation; trigonometric current injection patterns; voltage measurement; Conductivity; Electrodes; Image reconstruction; Permittivity; Reconstruction algorithms; Voltage measurement; Algorithms; biomedical imaging; Algorithms; Computer Simulation; Electric Impedance; Humans; Image Processing, Computer-Assisted; Models, Biological; Phantoms, Imaging; Pleural Effusion; Pneumothorax; Thorax; Tomography;
Journal_Title :
Medical Imaging, IEEE Transactions on
DOI :
10.1109/TMI.2012.2237389