Electromagnetic tomography based on finite element method and improved genetic algorithm
Mathematical model of electromagnetic tomography based on Maxwell equations is established. Finite element method is adopted to solve forward problem. In the process of inverse problem, improved genetic algorithm is used to realize image reconstruction and simulated with MATLAB. The simulation resul...
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| creator | Hua Li Tingting Pan Yinxue Zhang Jing Sun Zhiqiang Liu |
| description | Mathematical model of electromagnetic tomography based on Maxwell equations is established. Finite element method is adopted to solve forward problem. In the process of inverse problem, improved genetic algorithm is used to realize image reconstruction and simulated with MATLAB. The simulation results show that it is effective and feasible to adopt finite element method and improved genetic algorithm in electromagnetic tomography. |
| doi_str_mv | 10.1109/ICIMA.2009.5156655 |
| format | Conference Proceeding |
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Finite element method is adopted to solve forward problem. In the process of inverse problem, improved genetic algorithm is used to realize image reconstruction and simulated with MATLAB. 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Finite element method is adopted to solve forward problem. In the process of inverse problem, improved genetic algorithm is used to realize image reconstruction and simulated with MATLAB. The simulation results show that it is effective and feasible to adopt finite element method and improved genetic algorithm in electromagnetic tomography.</description><subject>Coils</subject><subject>Electromagnetic induction</subject><subject>electromagnetic tomography(EMT)</subject><subject>finite element method</subject><subject>Finite element methods</subject><subject>genetic algorithm(GA)</subject><subject>Genetic algorithms</subject><subject>Image reconstruction</subject><subject>Inverse problems</subject><subject>Magnetic field measurement</subject><subject>Maxwell equations</subject><subject>Mechatronics</subject><subject>Tomography</subject><isbn>9781424438174</isbn><isbn>1424438179</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotkM1KxDAcxAOyoK59Ab3kBVqTNJ_HpaxaWPGi4G1J23_aSNOUNgj79q7szmUO85s5DEKPlBSUEvNcV_X7rmCEmEJQIaUQNygzSlPOOC81VXyD7v9jQwjT_BZl6_pDzuKCKSXu0Pd-hDYtMdh-guRbnGKI_WLn4YQbu0KH44Sdn3wCDCMEmBIOkIbYYTt12Id5ib9nqodL3Y59XHwawgPaODuukF19i75e9p_VW374eK2r3SH3VImUQym51EQqq2nXCGWEIqYBoEaU1rVKt4wpp5kV4Ch3plS2U410hIDrQMpyi54uux4AjvPig11Ox-sZ5R80WFRp</recordid><startdate>200905</startdate><enddate>200905</enddate><creator>Hua Li</creator><creator>Tingting Pan</creator><creator>Yinxue Zhang</creator><creator>Jing Sun</creator><creator>Zhiqiang Liu</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200905</creationdate><title>Electromagnetic tomography based on finite element method and improved genetic algorithm</title><author>Hua Li ; Tingting Pan ; Yinxue Zhang ; Jing Sun ; Zhiqiang Liu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-e36468067a81db5795709bee1953afc78c227f82a5ef14f937ad7b6f00efde663</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Coils</topic><topic>Electromagnetic induction</topic><topic>electromagnetic tomography(EMT)</topic><topic>finite element method</topic><topic>Finite element methods</topic><topic>genetic algorithm(GA)</topic><topic>Genetic algorithms</topic><topic>Image reconstruction</topic><topic>Inverse problems</topic><topic>Magnetic field measurement</topic><topic>Maxwell equations</topic><topic>Mechatronics</topic><topic>Tomography</topic><toplevel>online_resources</toplevel><creatorcontrib>Hua Li</creatorcontrib><creatorcontrib>Tingting Pan</creatorcontrib><creatorcontrib>Yinxue Zhang</creatorcontrib><creatorcontrib>Jing Sun</creatorcontrib><creatorcontrib>Zhiqiang Liu</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Hua Li</au><au>Tingting Pan</au><au>Yinxue Zhang</au><au>Jing Sun</au><au>Zhiqiang Liu</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Electromagnetic tomography based on finite element method and improved genetic algorithm</atitle><btitle>2009 International Conference on Industrial Mechatronics and Automation</btitle><stitle>ICIMA</stitle><date>2009-05</date><risdate>2009</risdate><spage>430</spage><epage>433</epage><pages>430-433</pages><isbn>9781424438174</isbn><isbn>1424438179</isbn><abstract>Mathematical model of electromagnetic tomography based on Maxwell equations is established. Finite element method is adopted to solve forward problem. In the process of inverse problem, improved genetic algorithm is used to realize image reconstruction and simulated with MATLAB. The simulation results show that it is effective and feasible to adopt finite element method and improved genetic algorithm in electromagnetic tomography.</abstract><pub>IEEE</pub><doi>10.1109/ICIMA.2009.5156655</doi><tpages>4</tpages></addata></record> |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Coils Electromagnetic induction electromagnetic tomography(EMT) finite element method Finite element methods genetic algorithm(GA) Genetic algorithms Image reconstruction Inverse problems Magnetic field measurement Maxwell equations Mechatronics Tomography |
| title | Electromagnetic tomography based on finite element method and improved genetic algorithm |
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