Paper Info
Title
Reconstruction of Electrical Impedance Tomography Using Fish School Search, Non-Blind Search, and Genetic Algorithm.
Abstract
Electrical Impedance Tomography EIT is a noninvasive imaging technique that does not use ionizing radiation, with application both in environmental sciences and in health. Image reconstruction is performed by solving an inverse problem and ill-posed. Evolutionary Computation and Swarm Intelligence have become a source of methods for solving inverse problems. Fish School Search FSS is a promising search and optimization method, based on the dynamics of schools of fish. In this article the authors present a method for reconstruction of EIT images based on FSS and Non-Blind Search NBS. The method was evaluated using numerical phantoms consisting of electrical conductivity images with subjects in the center, between the center and the edge and on the edge of a circular section, with meshes of 415 finite elements. The authors performed 20 simulations for each configuration. Results showed that both FSS and FSS-NBS were able to converge faster than genetic algorithms.
Year
DOI
Venue
2017
10.4018/IJSIR.2017040102
IJSIR
Keywords
DocType
Volume
Electrical Tomography Impedance, Fish School Search, Genetic Algorithm, Image Reconstruction, Non-Blind Search, Reconstruction Algorithm
Journal
8
Issue
ISSN
Citations 
2
International Journal of Swarm Intelligence Research, Volume 8, Issue 2, 2017
0
PageRank 
References 
Authors
0.34
2
8
Name
Order
Citations
PageRank
Valter A. F. Barbosa100.68
Reiga R. Ribeiro200.68
Allan R. S. Feitosa301.69
Victor L. B. A. Silva400.34
Arthur D. D. Rocha500.34
Rafaela C. Freitas600.34
Ricardo Emmanuel de Souza7144.53
Wellington P. dos Santos83611.00