Microwave Radar-Based Breast Cancer Detection: Imaging in Inhomogeneous Breast Phantoms

Microwave Radar-Based Breast Cancer Detection: Imaging in Inhomogeneous Breast Phantoms
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DOI:
10.1109/lawp.2009.2036748
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发表时间:
2009-01-01
影响因子:
4.2
通讯作者:
Benjamin, R.
Benjamin, R.
中科院分区:
计算机科学2区
文献类型:
--
作者:
Klemm, M.;Leendertz, J. A.;Benjamin, R.

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这封信提出,第一次,实验工作微波乳腺癌成像使用不均匀的乳房幻影。最近设计的31天线阵列用于成像实验。成像系统在3至10 GHz的全超宽带频率范围内工作。为了验证我们的系统的成像性能,新的乳房模型与不均匀的内部开发。对于本工作中提出的三种不同的乳房体模,球形体模肿瘤与周围材料之间的对比度范围为5:1至1.6:1。我们的研究结果表明,在雷达微波成像的最大挑战是被感测的体积的不均匀性,而不是对比度本身。除了实验结果,我们还提出了新的图像形成算法,这是一个修改版本的延迟和总和(DAS)算法。新算法利用了一个新的加权因子,相干因子。新算法有效地减少了杂波,提供了更好的图像。对于这里提出的最苛刻的成像示例,新算法将峰值杂波与目标能量比提高了3.1 dB。
This letter presents, for the first time, experimental work on microwave breast cancer imaging using inhomogeneous breast phantoms. A recently designed 31-antenna array is used in imaging experiments. The imaging system operates in the full ultrawideband frequency range, between 3 and 10 GHz. To verify imaging performance of our system, new breast phantoms with inhomogeneous interior were developed. For three different breast phantoms presented in this work, the contrast between spherical phantom tumors and surrounding materials ranges from 5:1 to 1.6:1. Our results show that the biggest challenge in radar microwave imaging is the inhomogeneity of the volume being sensed, and not the contrast itself. In addition to experimental results, we also present the new image formation algorithm, which is a modified version of the delay-and-sum (DAS) algorithm. The new algorithm makes use of a new weighting factor, the coherence factor. The new algorithm is effective in reducing clutter, providing better images. For the most demanding imaging example presented herein, the new algorithm improves the peak clutter-to-target energy ratio by 3.1 dB.