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

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 recon...

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Vydané v:	2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Ročník 2015; s. 4069 - 4072
Hlavní autori:	Martins, Thiago Castro, Sales Guerra Tsuzuki, Marcos
Médium:	Konferenčný príspevok.. Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.01.2015
Predmet:	Algorithms Clustering algorithms Electric Impedance Energy states Image Processing, Computer-Assisted - methods Image reconstruction Linear programming Simulated annealing Tomography Tomography - methods
ISSN:	1094-687X, 1557-170X, 2694-0604, 2694-0604
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