DocumentCode :
2710456
Title :
Image reconstruction of EIT using differential evolution algorithm
Author :
Li, Ying ; Rao, Liyun ; He, Renjie ; Xu, Guizhi ; Wu, Qing ; Ge, Manling ; Yan, Weili
Author_Institution :
Hebei Univ. of Technol., Tianjin, China
Volume :
2
fYear :
2003
fDate :
17-21 Sept. 2003
Firstpage :
1011
Abstract :
Differential evolution (DE) algorithm is used in this paper to solve the inverse problem of EIT, where the cost function is determined by solving the forward problem using finite element method (FEM). This method is applied to the 2D impedance reconstruction of brain section based on real head model. Our simulations demonstrate that DE algorithm is robust in obtaining high quality reconstruction for EIT problems studied in this paper.
Keywords :
brain models; electric impedance imaging; finite element analysis; image reconstruction; inverse problems; medical image processing; EIT; brain section; differential evolution algorithm; finite element method; image reconstruction; inverse problem; quality reconstruction; real head model; Biomedical imaging; Conductivity; Current measurement; Electrodes; Image reconstruction; Impedance measurement; Inverse problems; Surface impedance; Tomography; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
ISSN :
1094-687X
Print_ISBN :
0-7803-7789-3
Type :
conf
DOI :
10.1109/IEMBS.2003.1279415
Filename :
1279415
Link To Document :
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