{"title":"基于模拟退火和遗传算法的阻抗图像重建方法","authors":"K. Cheng, Bae-horng Chen","doi":"10.1109/ICBEM.1998.666413","DOIUrl":null,"url":null,"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.","PeriodicalId":213764,"journal":{"name":"Proceedings of the 2nd International Conference on Bioelectromagnetism (Cat. No.98TH8269)","volume":"38 5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Simulated annealing and genetic algorithms based methods for impedance image reconstruction\",\"authors\":\"K. Cheng, Bae-horng Chen\",\"doi\":\"10.1109/ICBEM.1998.666413\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":213764,\"journal\":{\"name\":\"Proceedings of the 2nd International Conference on Bioelectromagnetism (Cat. No.98TH8269)\",\"volume\":\"38 5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-02-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2nd International Conference on Bioelectromagnetism (Cat. No.98TH8269)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICBEM.1998.666413\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2nd International Conference on Bioelectromagnetism (Cat. No.98TH8269)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICBEM.1998.666413","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Simulated annealing and genetic algorithms based methods for impedance image reconstruction
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.