Shuai Zhang, Guizhi Xu, Jianjun Zhang, Hongbin Wang, D. Geng, Xueqin Shen, Weili Yan, Fugui Liu, Xiaoguang Yang
{"title":"Three dimensional detection and imaging for human lung based on node back-projection algorithm with a 64 electrodes EIT system","authors":"Shuai Zhang, Guizhi Xu, Jianjun Zhang, Hongbin Wang, D. Geng, Xueqin Shen, Weili Yan, Fugui Liu, Xiaoguang Yang","doi":"10.1109/CEFC.2010.5481635","DOIUrl":null,"url":null,"abstract":"Electrical impedance tomography (EIT) is a medical imaging technique in which an image of the conductivity or permittivity of part of the body is inferred from surface electrical measurements. In the paper an approach of a fast, real-time, three dimensional human lung's detection and imaging based on node back-projection algorithm with a 64 electrodes EIT system is introduced. The results shows that the system has the capability of reflection on impedance change of the thorax by the images reconstructed during one's breathing.","PeriodicalId":148739,"journal":{"name":"Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEFC.2010.5481635","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Electrical impedance tomography (EIT) is a medical imaging technique in which an image of the conductivity or permittivity of part of the body is inferred from surface electrical measurements. In the paper an approach of a fast, real-time, three dimensional human lung's detection and imaging based on node back-projection algorithm with a 64 electrodes EIT system is introduced. The results shows that the system has the capability of reflection on impedance change of the thorax by the images reconstructed during one's breathing.