{"title":"Development of Microwave Imaging System Using UWB Antenna Array for Inhomogeneity Detection in Human Brain Phantoms","authors":"Yogesh Kumar Yadav;Kushmanda Saurav;Sahil Kalra","doi":"10.1109/LSENS.2025.3535756","DOIUrl":null,"url":null,"abstract":"This study introduces a method for diagnosing multiple brain tumors using an array of eight compact ultrawideband (UWB) antennas. Employing radar technology, UWB monopole antennas encircle a brain phantom to detect inhomogeneities. Designed and characterized via a commercial electromagnetic solver, the antennas operate within a 1–6 GHz frequency range. A 3-D brain and tumor phantoms are fabricated, and eight antennas array based microwave imaging system is implemented. The system reconstructed radar-based images by analyzing back-scattered signals, using the delay-and-sum algorithm for tumor detection. Results show the system effectively identifies single or multiple brain tumors, with high correlation between measured and simulated data.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 3","pages":"1-4"},"PeriodicalIF":2.2000,"publicationDate":"2025-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Sensors Letters","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10856557/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
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Abstract
This study introduces a method for diagnosing multiple brain tumors using an array of eight compact ultrawideband (UWB) antennas. Employing radar technology, UWB monopole antennas encircle a brain phantom to detect inhomogeneities. Designed and characterized via a commercial electromagnetic solver, the antennas operate within a 1–6 GHz frequency range. A 3-D brain and tumor phantoms are fabricated, and eight antennas array based microwave imaging system is implemented. The system reconstructed radar-based images by analyzing back-scattered signals, using the delay-and-sum algorithm for tumor detection. Results show the system effectively identifies single or multiple brain tumors, with high correlation between measured and simulated data.
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