{"title":"电断层成像中直接和间接电导率分布图像重建算法的研究","authors":"M. Dorozhovets, Anton Prygrodsky","doi":"10.1109/IDAACS.2011.6072796","DOIUrl":null,"url":null,"abstract":"In this paper the two conductivity distribution reconstruction algorithms are presented. The first based on the previous resistivity reconstruction and the second one based on the usage of the inverse measured voltages. Efficiency of the presented algorithms compared with the direct conductivity distribution. Modeling results shows that these two algorithms provide better convergence of the iteration process of solving the inverse tomography problem.","PeriodicalId":106306,"journal":{"name":"Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems","volume":"76 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Investigation of the direct and indirect conductivity distribution image reconstruction algorithms in electrical tomography\",\"authors\":\"M. Dorozhovets, Anton Prygrodsky\",\"doi\":\"10.1109/IDAACS.2011.6072796\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper the two conductivity distribution reconstruction algorithms are presented. The first based on the previous resistivity reconstruction and the second one based on the usage of the inverse measured voltages. Efficiency of the presented algorithms compared with the direct conductivity distribution. Modeling results shows that these two algorithms provide better convergence of the iteration process of solving the inverse tomography problem.\",\"PeriodicalId\":106306,\"journal\":{\"name\":\"Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems\",\"volume\":\"76 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IDAACS.2011.6072796\",\"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 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IDAACS.2011.6072796","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Investigation of the direct and indirect conductivity distribution image reconstruction algorithms in electrical tomography
In this paper the two conductivity distribution reconstruction algorithms are presented. The first based on the previous resistivity reconstruction and the second one based on the usage of the inverse measured voltages. Efficiency of the presented algorithms compared with the direct conductivity distribution. Modeling results shows that these two algorithms provide better convergence of the iteration process of solving the inverse tomography problem.