{"title":"基于核磁共振成像的人体电特性映射","authors":"E. Motovilova, Jiasheng Su, S. Huang","doi":"10.1109/COMPEM.2015.7052560","DOIUrl":null,"url":null,"abstract":"This article presents and compares analytical and numerical methods for electrical property retrievals that are developed recently in our research group. The methods create electrical property maps of human body only on the basis of typical data from magnetic resonance imaging (MRI) (without using any additional devises or data). Derivations and results are included. Analysis and comparison of the methods are presented.","PeriodicalId":6530,"journal":{"name":"2015 IEEE International Conference on Computational Electromagnetics","volume":"34 1","pages":"73-75"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"MRI-based electrical property mapping for human body\",\"authors\":\"E. Motovilova, Jiasheng Su, S. Huang\",\"doi\":\"10.1109/COMPEM.2015.7052560\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article presents and compares analytical and numerical methods for electrical property retrievals that are developed recently in our research group. The methods create electrical property maps of human body only on the basis of typical data from magnetic resonance imaging (MRI) (without using any additional devises or data). Derivations and results are included. Analysis and comparison of the methods are presented.\",\"PeriodicalId\":6530,\"journal\":{\"name\":\"2015 IEEE International Conference on Computational Electromagnetics\",\"volume\":\"34 1\",\"pages\":\"73-75\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-03-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Computational Electromagnetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COMPEM.2015.7052560\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Computational Electromagnetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMPEM.2015.7052560","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
MRI-based electrical property mapping for human body
This article presents and compares analytical and numerical methods for electrical property retrievals that are developed recently in our research group. The methods create electrical property maps of human body only on the basis of typical data from magnetic resonance imaging (MRI) (without using any additional devises or data). Derivations and results are included. Analysis and comparison of the methods are presented.