Shuzhe Chen, Kecheng Zhang, Maokun Li, Yuqi Zhang, Yibing Wang, Fan Yang, Shenheng Xu, A. Abubakar
{"title":"Application of Electrical Impedance Tomography for Monitoring Tissue Water Content of the Thigh","authors":"Shuzhe Chen, Kecheng Zhang, Maokun Li, Yuqi Zhang, Yibing Wang, Fan Yang, Shenheng Xu, A. Abubakar","doi":"10.1109/IMBioC52515.2022.9790141","DOIUrl":null,"url":null,"abstract":"Abnormal fluid distribution in tissue is a common clinical sign that lacks quantitative detection methods. Electrical impedance tomography (EIT) can visualize fluid distribution non-invasively. In this work, EIT for monitoring the tissue water content of the thigh is studied. Supervised Descent Method (SDM) is applied as the absolute imaging algorithm. Prior information and generalization capability were balanced flexibly by a well-designed training set. Numerical edema samples were proposed to verify the feasibility of the algorithm. The conductivity distribution image of a healthy thigh was reconstructed using data derived from in-vivo measurement. The presented scheme exhibits a promising application of EIT in tissue water content monitoring.","PeriodicalId":305829,"journal":{"name":"2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMBioC52515.2022.9790141","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Abnormal fluid distribution in tissue is a common clinical sign that lacks quantitative detection methods. Electrical impedance tomography (EIT) can visualize fluid distribution non-invasively. In this work, EIT for monitoring the tissue water content of the thigh is studied. Supervised Descent Method (SDM) is applied as the absolute imaging algorithm. Prior information and generalization capability were balanced flexibly by a well-designed training set. Numerical edema samples were proposed to verify the feasibility of the algorithm. The conductivity distribution image of a healthy thigh was reconstructed using data derived from in-vivo measurement. The presented scheme exhibits a promising application of EIT in tissue water content monitoring.