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Image Reconstruction of Electrical Impedance Tomography Using Fish School Search and Differential Evolution
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Author(s): Valter Augusto de Freitas Barbosa (Universidade Federal de Pernambuco, Brazil), Wellington Pinheiro dos Santos (Universidade Federal de Pernambuco, Brazil), Ricardo Emmanuel de Souza (Universidade Federal de Pernambuco, Brazil), Reiga Ramalho Ribeiro (Universidade Federal de Pernambuco, Brazil), Allan Rivalles Souza Feitosa (Universidade Federal de Pernambuco, Brazil), Victor Luiz Bezerra Araújo da Silva (Escola Politécnica da Universidade de Pernambuco, Brazil), David Edson Ribeiro (Universidade Federal de Pernambuco, Brazil), Rafaela Covello Freitas (Escola Politécnica da Universidade de Pernambuco, Brazil), Manoela Paschoal (Universidade Federal de Pernambuco, Brazil), Natália Souza Soares (Universidade Federal de Pernambuco, Brazil), Rodrigo Beltrão Valença (Universidade Federal de Pernambuco, Brazil), Rodrigo Luiz Tomio Ogava (Universidade Federal de Pernambuco, Brazil)and Ítalo José do Nascimento Silva Araújo Dias (Universidade Federal de Pernambuco, Brazil)
Copyright: 2018
Pages: 38
Source title:
Critical Developments and Applications of Swarm Intelligence
Source Author(s)/Editor(s): Yuhui Shi (Southern University of Science and Technology, China)
DOI: 10.4018/978-1-5225-5134-8.ch012
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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 and bioinspired computation have become a source of methods for solving inverse problems. In this chapter, the authors investigate the performance of fish school search (FSS) and differential evolution (DE) using non-blind search (NBS) considering meshes of 415, 3190, and 9990 finite elements. The methods were evaluated using numerical phantoms consisting of electrical conductivity images with objects in the center, between the center and the edge, and on the edge of a circular section. Twenty simulations were performed for each configuration. Results showed that both FSS and DE are able to perform EIT image reconstruction with large meshes and converge faster by using non-blind search.
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