Farzana Tasnim, F. Jannat, S. Kibria, M. Shamsul Alam, Tanveer Ahsan, T. Alam, R. Azim, M. Tariqul Islam
{"title":"乳腺肿瘤微波成像系统的电磁性能分析","authors":"Farzana Tasnim, F. Jannat, S. Kibria, M. Shamsul Alam, Tanveer Ahsan, T. Alam, R. Azim, M. Tariqul Islam","doi":"10.1109/ICISET.2018.8745569","DOIUrl":null,"url":null,"abstract":"Breast cancer is the second most common disease throughout the world, more than 1.8 million new breast cancer cases diagnosed every year worldwide. Early detection and treatment of breast cancer can be survived up to 97%. X-ray mammography, Ultra-sound system, and MRI techniques are widely used detection system. But X-ray mammography and Ultra-sound system have high false diagnose rate. MRI is the most effective one to detect the tumor but very expensive, sometimes unreachable to the low-income people. On the other hand, Microwave imaging technique is non-invasive and harmless alternative of mammography. It includes transmission of low levels of microwave vitality through the tissues. In this research, an MIS system is developed for breast cancer detection using six highly directive Vivaldi antennas that are uniformly placed over the whole breast phantom. The designed antenna obtained operating band at 3.04 GHz to 3.30 GHz with peak gain of 4.1 dB. The antennas are used as transponder to transmit signal and received backscattered signals. Antenna one transmits signal and other antennas receive the signal. The received backscattered signals are converted to digital data and processed using MATLAB software to visualize the image to detect the tumor.","PeriodicalId":6608,"journal":{"name":"2018 International Conference on Innovations in Science, Engineering and Technology (ICISET)","volume":"80 1","pages":"442-446"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Electromagnetic Performances Analysis of a Microwave Imaging System(MIS) for Breast Tumor Detection\",\"authors\":\"Farzana Tasnim, F. Jannat, S. Kibria, M. Shamsul Alam, Tanveer Ahsan, T. Alam, R. Azim, M. Tariqul Islam\",\"doi\":\"10.1109/ICISET.2018.8745569\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Breast cancer is the second most common disease throughout the world, more than 1.8 million new breast cancer cases diagnosed every year worldwide. Early detection and treatment of breast cancer can be survived up to 97%. X-ray mammography, Ultra-sound system, and MRI techniques are widely used detection system. But X-ray mammography and Ultra-sound system have high false diagnose rate. MRI is the most effective one to detect the tumor but very expensive, sometimes unreachable to the low-income people. On the other hand, Microwave imaging technique is non-invasive and harmless alternative of mammography. It includes transmission of low levels of microwave vitality through the tissues. In this research, an MIS system is developed for breast cancer detection using six highly directive Vivaldi antennas that are uniformly placed over the whole breast phantom. The designed antenna obtained operating band at 3.04 GHz to 3.30 GHz with peak gain of 4.1 dB. The antennas are used as transponder to transmit signal and received backscattered signals. Antenna one transmits signal and other antennas receive the signal. The received backscattered signals are converted to digital data and processed using MATLAB software to visualize the image to detect the tumor.\",\"PeriodicalId\":6608,\"journal\":{\"name\":\"2018 International Conference on Innovations in Science, Engineering and Technology (ICISET)\",\"volume\":\"80 1\",\"pages\":\"442-446\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Innovations in Science, Engineering and Technology (ICISET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICISET.2018.8745569\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Innovations in Science, Engineering and Technology (ICISET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICISET.2018.8745569","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Electromagnetic Performances Analysis of a Microwave Imaging System(MIS) for Breast Tumor Detection
Breast cancer is the second most common disease throughout the world, more than 1.8 million new breast cancer cases diagnosed every year worldwide. Early detection and treatment of breast cancer can be survived up to 97%. X-ray mammography, Ultra-sound system, and MRI techniques are widely used detection system. But X-ray mammography and Ultra-sound system have high false diagnose rate. MRI is the most effective one to detect the tumor but very expensive, sometimes unreachable to the low-income people. On the other hand, Microwave imaging technique is non-invasive and harmless alternative of mammography. It includes transmission of low levels of microwave vitality through the tissues. In this research, an MIS system is developed for breast cancer detection using six highly directive Vivaldi antennas that are uniformly placed over the whole breast phantom. The designed antenna obtained operating band at 3.04 GHz to 3.30 GHz with peak gain of 4.1 dB. The antennas are used as transponder to transmit signal and received backscattered signals. Antenna one transmits signal and other antennas receive the signal. The received backscattered signals are converted to digital data and processed using MATLAB software to visualize the image to detect the tumor.