In this paper, a novel approach of high-accuracy calibration (HAC) method is employed to improve the resolution of tumor detection within a fibro-glandular breast model, and also an improved 3D back-projection approach to scan each focal point inside of the breast is presented. For these purposes, a simulated hemispherical setup of a multi-static array with a modified UWB bowtie antenna is applied around the breast. The superiority of the proposed HAC method is that all-time delays of multi-static channel paths are taken into account at preprocessing of reflected signals, and therefore the time location of tumor response can be estimated accurately in the late stage of recorded signals. As a result, stronger signals are obtained to detect the location of the tumor with higher spatial accuracy. By using the improved 3D back-projection method, a better approximation of transmission channel paths based on Fermat's principle is achieved. A realistic breast model is proposed with two cases of single and twin spherical tumors. Then, to validate the efficiency of the proposed HAC method to detect the time-dependent tumor location, several scenarios are studied in the mentioned model. Quantitative metrics of successfully reconstructed tumor (with a small radius of 7 mm) images prove the ability of the proposed imaging method for early-stage breast cancer detection.

中文翻译：

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一种基于改进的 3D 反投影方法的高分辨率 UWB 微波成像系统的新方法，用于早期乳腺癌检测应用

在本文中，采用了一种新的高精度校准 (HAC) 方法来提高纤维腺体乳腺模型中肿瘤检测的分辨率，以及一种改进的 3D 反投影方法来扫描模型内部的每个焦点。提出了乳房。出于这些目的，在乳房周围应用了带有改进的 UWB 蝴蝶结天线的多静态阵列的模拟半球形设置。所提出的HAC方法的优势在于在反射信号的预处理中考虑了多静态通道路径的全时延，因此可以在记录信号的后期准确估计肿瘤反应的时间位置。结果，获得了更强的信号，以更高的空间精度检测肿瘤的位置。通过使用改进的 3D 反投影方法，实现了基于费马原理的传输信道路径的更好近似。提出了一个真实的乳房模型，其中包含两个单和双球形肿瘤病例。然后，为了验证所提出的 HAC 方法检测时间依赖性肿瘤位置的效率，在上述模型中研究了几种情况。成功重建肿瘤（小半径为 7 mm）图像的定量指标证明了所提出的成像方法在早期乳腺癌检测中的能力。在上述模型中研究了几种情况。成功重建肿瘤（小半径为 7 mm）图像的定量指标证明了所提出的成像方法在早期乳腺癌检测中的能力。在上述模型中研究了几种情况。成功重建肿瘤（小半径为 7 mm）图像的定量指标证明了所提出的成像方法在早期乳腺癌检测中的能力。