EIT image regularization by a new Multi-Objective Simulated Annealing algorithm

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Aug 2015Publisher:IEEEJournal:2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Authors: Thiago de Castro Martins; Marcos de Sales Guerra Tsuzuki;

doi: 10.1109/embc.2015.7319288

pmid: 26737188

EIT image regularization by a new Multi-Objective Simulated Annealing algorithm

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Abstract

Multi-Objective Optimization can be used to produce regularized Electrical Impedance Tomography (EIT) images where the weight of the regularization term is not known a priori. This paper proposes a novel Multi-Objective Optimization algorithm based on Simulated Annealing tailored for EIT image reconstruction. Images are reconstructed from experimental data and compared with images from other Multi and Single Objective optimization methods. A significant performance enhancement from traditional techniques can be inferred from the results.

Related Organizations

UNIVERSIDADE DE SAO PAULO
Brazil
Universidade de São Paulo
Brazil

Keywords

Electric Impedance, Image Processing, Computer-Assisted, Tomography, Algorithms

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