An Improved Implementation of the Topology Optimization Method Applied to Electrical Impedance Tomography Imaging

Author(s):  
C.R. Lima ◽  
E.C.N. Silva
AIP Advances ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. 125310
Author(s):  
Xiuyan Li ◽  
Xiaojing Chen ◽  
Qi Wang ◽  
Jianming Wang ◽  
Xiaojie Duan ◽  
...  

2008 ◽  
Vol 55 (2) ◽  
pp. 531-540 ◽  
Author(s):  
LuÍs Augusto Motta Mello ◽  
CÍcero Ribeiro de Lima ◽  
Marcelo Britto Passos Amato ◽  
Raul Gonzalez Lima ◽  
EmÍlio Carlos Nelli Silva

2017 ◽  
Vol 8 (2) ◽  
pp. 17-33 ◽  
Author(s):  
Valter A. F. Barbosa ◽  
Reiga R. Ribeiro ◽  
Allan R. S. Feitosa ◽  
Victor L. B. A. Silva ◽  
Arthur D. D. Rocha ◽  
...  

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.


2007 ◽  
Vol 23 (3) ◽  
pp. 1201-1214 ◽  
Author(s):  
Jari P Kaipio ◽  
Aku Seppänen ◽  
Arto Voutilainen ◽  
Heikki Haario

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