{"title":"基于超宽带天线阵列的人脑非均匀性检测微波成像系统的研制","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":"{\"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}","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}
Development of Microwave Imaging System Using UWB Antenna Array for Inhomogeneity Detection in Human Brain Phantoms
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.