DocumentCode :
2232575
Title :
Simulated annealing and genetic algorithms based methods for impedance image reconstruction
Author :
Cheng, Kuo-Sheng ; Chen, Bae-Horng
Author_Institution :
Inst. of Biomed. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
fYear :
1998
fDate :
15-18 Feb 1998
Firstpage :
97
Lastpage :
98
Abstract :
In this paper, both the simulated annealing and genetic algorithm based electrical impedance image reconstruction algorithms are investigated. In order to reduce the degrees of freedom, a guided technique based upon the voltage measurements is also designed. From the results, both methods are demonstrated to be feasible for producing dynamic images
Keywords :
electric impedance imaging; genetic algorithms; image reconstruction; medical image processing; simulated annealing; degrees of freedom reduction; dynamic image production; electrical impedance tomography; impedance image reconstruction; medical diagnostic imaging; noninvasive medical imaging technique; voltage measurement; Conductivity; Electrodes; Flowcharts; Genetic algorithms; Image reconstruction; Impedance; Simulated annealing; Temperature distribution; Tomography; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioelectromagnetism, 1998. Proceedings of the 2nd International Conference on
Conference_Location :
Melbourne, Vic.
Print_ISBN :
0-7803-3867-7
Type :
conf
DOI :
10.1109/ICBEM.1998.666413
Filename :
666413
Link To Document :
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