Tripathy Sujit, Mukherjee Vishwajeet, Mishro Pranaba K
Sambalpur University.
Department of Physics, SUIIT, Sambalpur University, Burla, India.
Crit Rev Biomed Eng. 2025;53(4):25-53. doi: 10.1615/CritRevBiomedEng.2024055777.
In the past decade, microwave imaging (MWI), employing advanced antenna-based systems, has emerged as a cutting-edge, non-invasive approach for pathological diagnosis. Multiple experimental studies suggest that MWI proposes promising results for early-stage tumor diagnosis. Recent studies on MWI show the importance of antenna types and configuration. However, it is observed that a very limited research has focused on exploring the large classes of antennas used in detail. In this review, a systematic study and firsthand classification of the antennas used, as the most important aspect of an MWI system, is proposed. The classification includes fundamental antennas, microstrip antennas, metamaterial/metastructure antennas, specialized antennas, and 3D antennas. A cross-sectional study is performed to depict the potential relationship between antenna type and efficiency of the MWI systems. This goal is achieved by quantitatively analyzing the gain and operating bandwidth, antenna configuration, and application models. Further, a critical analysis is presented on different signal processing and imaging algorithms for synthetic image generation. This review presents a modular analysis of MWI systems and draws several conclusions on the effectiveness of each essential module for a reliable MWI system. It also addresses the challenges, scope of improvement in the MWI systems, and prospects for the technology's integration into clinical practice.
在过去十年中,采用先进的基于天线系统的微波成像(MWI)已成为一种用于病理诊断的前沿非侵入性方法。多项实验研究表明,MWI在早期肿瘤诊断方面显示出有前景的结果。近期关于MWI的研究表明了天线类型和配置的重要性。然而,据观察,针对详细探索所使用的各类天线的研究非常有限。在本综述中,作为MWI系统最重要的方面,提出了对所使用天线的系统研究和第一手分类。该分类包括基本天线、微带天线、超材料/超结构天线、专用天线和三维天线。进行了一项横断面研究,以描述天线类型与MWI系统效率之间的潜在关系。这一目标通过定量分析增益和工作带宽、天线配置及应用模型来实现。此外,对用于合成图像生成的不同信号处理和成像算法进行了批判性分析。本综述对MWI系统进行了模块化分析,并就可靠MWI系统中每个基本模块的有效性得出了若干结论。它还讨论了MWI系统面临的挑战、改进范围以及该技术融入临床实践的前景。