{"title":"Tissue sensing adaptive radar for breast cancer detection: preliminary experimental results","authors":"J. Sill, E. Fear","doi":"10.1109/MWSYM.2005.1517071","DOIUrl":null,"url":null,"abstract":"Microwave breast cancer detection records the differences in electrical properties between healthy and malignant tissue. Tissue sensing adaptive radar (TSAR) has been proposed as a method for early tumor detection. Reflections from the differences in electrical properties between healthy and diseased tissue (tumors) are time-shifted and summed to create images. In this paper, the TSAR second generation experimental system is presented. An antenna is tested and characterized, reflections are recorded and the image formation algorithms are tested. Finally, preliminary tumor detection with the experimental setup is evaluated.","PeriodicalId":13133,"journal":{"name":"IEEE MTT-S International Microwave Symposium Digest, 2005.","volume":"29 1","pages":"4 pp.-"},"PeriodicalIF":0.0000,"publicationDate":"2005-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE MTT-S International Microwave Symposium Digest, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MWSYM.2005.1517071","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 19
Abstract
Microwave breast cancer detection records the differences in electrical properties between healthy and malignant tissue. Tissue sensing adaptive radar (TSAR) has been proposed as a method for early tumor detection. Reflections from the differences in electrical properties between healthy and diseased tissue (tumors) are time-shifted and summed to create images. In this paper, the TSAR second generation experimental system is presented. An antenna is tested and characterized, reflections are recorded and the image formation algorithms are tested. Finally, preliminary tumor detection with the experimental setup is evaluated.