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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Veröffentlicht in:	2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Jg. 2015; S. 4069 - 4072
Hauptverfasser:	Martins, Thiago Castro, Sales Guerra Tsuzuki, Marcos
Format:	Tagungsbericht Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.01.2015
Schlagworte:	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
Online-Zugang:	Volltext
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