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基于超材料的人工磁导体,利用低成本天线阵列实现高效乳腺癌诊断。

Metamaterial-based Artificial magnetic conductor for efficient breast cancer diagnosis using a low-cost antenna array.

机构信息

Department of Physics, College of Science, University of Raparin, Sulaymaniyah, 46012, Iraq.

Physics Department, College of Science, Charmo University, 46023, Chamchamal, Sulaimania, Kurdistan Region, Iraq.

出版信息

Sci Rep. 2024 Nov 16;14(1):28262. doi: 10.1038/s41598-024-79666-8.

Abstract

Breast cancer is the most common malignancy in women globally, stemming from gene mutations that prompt irregular cellular growth and subsequent tumor development. Early-stage detection of cancer cells results in a remarkable 99% survival rate. This research presents a microwave imaging technique for the non-invasive identification of tumors in the initial stages within the women's breast. A low-cost antenna array with an Artificial Magnetic Conductor (AMC) is proposed, featuring a compact structure size of 37.2 37.2 mm . The AMC, a metamaterial, acts as a reflective surface to enhance frequency selectivity, specifically at 8.48 GHz. The maximum gains reached 9.35 dBi in simulated results and 10.51 dBi in measured results. The fabricated antenna validates the simulated findings, and its operational efficiency has undergone experimental validation. Moreover, fidelity factors in face-to-face (FtF) and side-by-side (SbS) scenarios are delineated. The antenna, operating as a transceiver, is applied to a modeled breast phantom across five distinct cases for numerical simulations pertaining to cancer cell detection applications. The outcomes of this research bear considerable implications for advancing early-stage breast cancer detection methodologies.

摘要

乳腺癌是全球女性最常见的恶性肿瘤,源于导致细胞生长异常和随后肿瘤发展的基因突变。早期发现癌细胞可使存活率高达 99%。本研究提出了一种用于非侵入式识别女性乳房早期肿瘤的微波成像技术。提出了一种具有人工磁导体(AMC)的低成本天线阵列,其结构尺寸紧凑,为 37.2 37.2 毫米。AMC 是一种超材料,作为反射面来增强频率选择性,特别是在 8.48 GHz 处。模拟结果中最大增益达到 9.35 dBi,测量结果中达到 10.51 dBi。所制造的天线验证了模拟结果,其运行效率已经过实验验证。此外,还描述了面对面(FtF)和并排(SbS)情况下的保真度因子。该天线作为收发器应用于五个不同的模型乳房体模进行数值模拟,用于癌症细胞检测应用。本研究的结果对推进早期乳腺癌检测方法具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2cda/11569186/cfd311e7f4a5/41598_2024_79666_Fig1_HTML.jpg

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