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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Bibliographic Details

Published in:	2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Vol. 2015; pp. 4069 - 4072
Main Authors:	Martins, Thiago Castro, Sales Guerra Tsuzuki, Marcos
Format:	Conference Proceeding Journal Article
Language:	English
Published:	United States IEEE 01.01.2015
Subjects:	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 Access:	Get full text
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