Title
Reconstruction of electrical impedance tomography images using genetic algorithms and non-blind search
Abstract
The development and improvement of non-invasive imaging techniques have been increasing in the last decades, due to interests from both academy and industry. Electrical Impedance Tomography (EIT) is a noninvasive imaging technique that offers a vast field of possibilities due to its low cost, portability, and safety of handling. However, EIT image reconstruction is an ill-posed problem. Herein this work we present an EIT reconstruction method based on the optimization of the relative error of reconstruction using genetic algorithms employing elitist strategies. The initial set of solutions used by the elitist genetic algorithm includes a noisy version of the solution obtained from the backprojection algorithm, according to Saha and Bandyopadhyay's criterion for non-blind initial search in optimization algorithms, in order to accelerate convergence and improve performance.
Year
DOI
Venue
2014
10.1109/ISBI.2014.6867832
ISBI
Keywords
DocType
ISSN
noninvasive imaging technique improvement,reconstruction algorithms,noisy version,image reconstruction,reconstruction relative error optimization,genetic algorithms,nonblind search,electrical impedance tomography,noninvasive imaging technique development,EIT image reconstruction method,backprojection algorithm,electric impedance imaging,elitist genetic algorithm,optimization algorithms,medical image processing,non-blind search
Conference
1945-7928
Citations 
PageRank 
References 
0
0.34
0
Authors
4