噪声对数学乳房模型复介电常数重建的影响

Hardik N. Patel, Deepak K. Ghodgaonkar
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引用次数: 0

摘要

微波成像检测乳腺癌依赖于复介电常数重建的准确性。微波成像由于散射电场振幅小,对噪声非常敏感。在不同的噪声环境下,研究了噪声对复介电常数重构的影响。在噪声存在的情况下,我们的反演方法的性能优于迭代和正则化反演方法
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The effect of noise on complex permittivity reconstruction in mathematical breast model
Cancer detection in breast using microwave imaging relies on accuracy of complex permittivity reconstruction. Microwave imaging is highly sensitive to noise due to low amplitude of scattered electric field. In this paper, the effect of noise on complex permittivity reconstruction is shown using different noise scenarios. In the presence of noise, performance of our inversion method is better than iterative and regularized inversion methods
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