Experimental Detection of Early-Stage Lung and Skin Tumors Based on Super Wideband Imaging

IF 3 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Wasan Alamro;Boon-Chong Seet;Lulu Wang;Prabakar Parthiban
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引用次数: 0

Abstract

In this paper, a super wideband (SWB) radio frequency imaging approach is developed and evaluated for detecting early stages of deep-seated lung and in-situ skin tumors. A life-sized human torso phantom is constructed of tissue mimicking materials and their dielectric properties are thoroughly investigated over the covered frequency range of 3.1−40 GHz. An array of custom-designed antenna elements is employed in an imaging setup to assess the detection capabilities of the SWB imaging approach for both lung and skin tumors. Images reconstructed using the acquired backscattering information and confocal beamforming algorithms demonstrate a successful detection with accurate tumor size and location estimation. Compared to present ultra-wideband (UWB) approach, the proposed SWB approach can enhance the spatial resolution of the reconstructed images by up to 84.4%. This work establishes the foundation for further exploration of SWB imaging in clinical trials, offering the potential to transform early cancer detection and treatment monitoring.
基于超宽带成像的早期肺癌和皮肤癌实验检测
本文开发并评估了一种超宽带(SWB)射频成像方法,用于检测深部肺部肿瘤和原位皮肤肿瘤的早期阶段。用组织模拟材料构建了一个真人大小的人体躯干模型,并在 3.1-40 GHz 的覆盖频率范围内对其介电特性进行了深入研究。在成像装置中采用了定制设计的天线元件阵列,以评估 SWB 成像方法对肺部和皮肤肿瘤的检测能力。利用获取的反向散射信息和共焦波束成形算法重建的图像表明,该方法能成功检测并准确估计肿瘤的大小和位置。与目前的超宽带(UWB)方法相比,所提出的 SWB 方法可将重建图像的空间分辨率提高 84.4%。这项研究为在临床试验中进一步探索 SWB 成像奠定了基础,有望改变早期癌症检测和治疗监测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.80
自引率
9.40%
发文量
58
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