期刊
IEEE SENSORS JOURNAL
卷 21, 期 8, 页码 9844-9851出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSEN.2021.3060326
关键词
Sensors; Graphene; Breast tissue; Mathematical model; Biological system modeling; Breast tumors; Biology; Sensor; breast cancer; graphene; terahertz band; wave concept iterative process (WCIP) method
This article presents a modeling and analysis of a tunable graphene-based sensor for breast tumor detection using the WCIP method. The sensor demonstrates good sensitivity for normal breast tissue detection and high sensitivity for breast tumor detection, with the benefits of simplicity, efficiency, and tunability, making it suitable for breast tumor detection in the THz band.
This article presents a modeling and analysis of a tunable graphene-based sensor for breast tumor detection operating in the terahertz frequency range using the wave concept iterative process (WCIP) method. Through the novel implementation approach of the biological tissues in the WCIP method, we can integrate the normal and tumor of human breast tissues into this algorithm. At the beginning, the details of the algorithms of human breast tissue and graphene modeling in the WCIP method are presented. In order to verify the results obtained by the WCIP algorithm, we presented a comparative study with the CST simulator. Then, using the WCIP method, the numerical simulation results demonstrate the capability of the proposed sensor to detect the normal breast tissue with good sensitivity of 7.11 (THz/RIU) and breast tumor with a high sensitivity of 8.21 THz/RIU and large figure of merits of 17.51 and 20.23 RIU1, respectively. Finally, the simplicity, efficiency and tunability are the benefits of the proposed sensor, which makes it suitable for breast tumor detection in the THz band.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据