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

被引：0
|
作者：
Martins, Thiago Castro [1 ]
Guerra Tsuzuki, Marcos Sales [1 ]
机构：
[1] Univ Sao Paulo, Escola Politecn, Computat Geometry Lab, BR-05508 Sao Paulo, Brazil
来源：
2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2015年
关键词：
OPTIMIZATION;
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
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.
引用
收藏
页码：4069 / 4072
页数：4
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