Microwave breast imaging based on an optimized two-step iterative shrinkage/thresholding method

Microwave breast imaging based on an optimized two-step iterative shrinkage/thresholding method
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基于优化的两步迭代收缩/阈值方法的微波乳腺成像

DOI:
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发表时间:
2015
期刊:
European Conference on Antennas and Propagation
影响因子:
--
通讯作者:
P. Kosmas
P. Kosmas
中科院分区:
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文献类型:
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作者:
Z. Miao;P. Kosmas

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我们提出了一个两步迭代收缩/阈值法(TwIST)的应用,以提高微波成像应用中的分辨率。将TwIST算法与扭曲玻恩迭代法(DBIM)相结合,重建二维(2-D)解剖学上真实的数值乳房模型的复介电常数。本文讨论了如何优化算法参数,以提高重建质量和算法的鲁棒性。我们的研究结果表明,这种方法产生的图像具有增强的分辨率在二维(2-D)微波乳腺成像的能力。
We propose the application of a two-step iterative shrinkage/thresholding method (TwIST) to improve the resolution in microwave imaging applications. The TwIST algorithm is combined with the distorted Born iterative method (DBIM) to reconstruct the complex permittivity of two-dimensional (2-D) anatomically realistic numerical breast phantoms. The paper discusses how to optimize the algorithm parameters in order to improve the quality of reconstructions and the robustness of the algorithm. Our results demonstrate the ability of this method to produce images with enhanced resolution in two-dimensional (2-D) microwave breast imaging.
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