Experimental evaluation of two iterative reconstruction methods for induced current electrical impedance tomography

1996 ◽  
Vol 15 (2) ◽  
pp. 180-187 ◽  
Author(s):  
Wenxin Ruan ◽  
R. Guardo ◽  
A. Adler
Author(s):  
Juliana Carneiro Gomes ◽  
Maíra Araújo de Santana ◽  
Clarisse Lins de Lima ◽  
Ricardo Emmanuel de Souza ◽  
Wellington Pinheiro dos Santos

Electrical Impedance Tomography (EIT) is an imaging technique based on the excitation of electrode pairs applied to the surface of the imaged region. The electrical potentials generated from alternating current excitation are measured and then applied to boundary-based reconstruction methods. When compared to other imaging techniques, EIT is considered a low-cost technique without ionizing radiation emission, safer for patients. However, the resolution is still low, depending on efficient reconstruction methods and low computational cost. EIT has the potential to be used as an alternative test for early detection of breast lesions in general. The most accurate reconstruction methods tend to be very costly as they use optimization methods as a support. Backprojection tends to be rapid but more inaccurate. In this work, the authors propose a hybrid method, based on extreme learning machines and backprojection for EIT reconstruction. The results were applied to numerical phantoms and were considered adequate, with potential to be improved using post processing techniques.


2012 ◽  
Vol 236 (8) ◽  
pp. 2126-2136 ◽  
Author(s):  
Matthias Gehre ◽  
Tobias Kluth ◽  
Antti Lipponen ◽  
Bangti Jin ◽  
Aku Seppänen ◽  
...  

2015 ◽  
Vol 24 (8) ◽  
pp. 1411-1431 ◽  
Author(s):  
G. González ◽  
J. M. J. Huttunen ◽  
V. Kolehmainen ◽  
A. Seppänen ◽  
M. Vauhkonen

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