Ultra-wideband microwave imaging of breast cancer tumors via Bayesian inverse scattering
Ultra-wideband microwave imaging of breast cancer tumors via Bayesian inverse scattering
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DOI：
10.1063/1.4865327
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发表时间：
2014-02-14
影响因子：
3.2
通讯作者：
Teixeira, F. L.
中科院分区：
文献类型：
--
作者：
Fouda, A. E.;Teixeira, F. L.
我们开发了一种新的算法，用于超宽带（UWB）微波成像的乳腺癌肿瘤使用贝叶斯逆散射。所提出的算法的一个关键特征是，乳房组织的本构特性重建从散射UWB微波信号与重建的置信水平。具有这样的置信水平使得能够最小化错误警报和遗漏检测两者。从所提出的算法的应用程序的结果表明，在估计的位置和介电常数的乳腺肿瘤，而不需要的背景乳腺组织的逐点属性的先验知识的准确性。(C)2014 AIP Publishing LLC.
We develop a new algorithm for ultra-wideband (UWB) microwave imaging of breast cancer tumors using Bayesian inverse scattering. A key feature of the proposed algorithm is that constitutive properties of breast tissues are reconstructed from scattered UWB microwave signals together with the confidence level of the reconstruction. Having such confidence level enables minimization of both false alarms and missed detections. Results from the application of the proposed algorithm demonstrate the accuracy in estimating both location and permittivity of breast tumors without the need for a priori knowledge of pointwise properties of the background breast tissue. (C) 2014 AIP Publishing LLC.