Multi-frequency Integration Algorithm of Contrast Source Inversion Method for Microwave Breast Tumor Detection*
Multi-frequency Integration Algorithm of Contrast Source Inversion Method for Microwave Breast Tumor Detection*
复制标题
微波乳腺肿瘤检测对比源反演方法的多频积分算法*
DOI：
10.1109/embc.2019.8857128
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
S. Kidera
中科院分区：
文献类型：
--
作者：
Hiroki Sato;S. Kidera
微波乳房X线摄影是基于X射线的乳腺癌检测技术的最有前途的替代方案之一，其中恶性肿瘤与正常组织相比具有一定水平的介电特性对比度。然而，复介电常数反演问题是一个非线性和不适定问题，这类算法的适当选择是微波乳腺成像成功的关键。对比源反演（CSI）方法是上述问题的最有前途的解决方案，其中迭代过程不需要计算上昂贵的正向求解器，如时域有限差分（FDTD）方法。然而，传统的CSI方法假设非色散介电模型，而乳房或其他人体组织具有不可忽略的色散特性。针对这一问题，本文提出了一种扩展CSI方法，该方法适用于色散介质，并引入多频积分以提高重建精度。FDTD数值测试，它使用一个现实的乳房体模通过磁共振成像（MRI），表明我们提出的方法有效地提高了重建精度，即使在色散介质。
Microwave mammography is one of the most promising alternatives to X-ray-based breast cancer detection techniques, where a malignant tumor has a certain level of dielectric property contrast compared with those in normal tissues. However, the inverse problem of reconstructing complex permittivity is a non-linear and ill-posed problem, and the appropriate selection of such algorithms is the key to the success of microwave mammography. The contrast source inversion (CSI) method is the most promising solution to the above problem, where the iterative procedure does not require a computationally expensive forward solver, like the finite difference time domain (FDTD) method. However, the conventional CSI method assumes a non-dispersive dielectric model, while breast or other human tissues have a nonnegligible dispersive property. To address this problem, this paper introduces an extended CSI method, which is suitable for dispersive medium and in which multi-frequency integration is introduced to enhance the reconstruction accuracy. The FDTD numerical test, which uses a realistic breast phantom via magnetic resonance imaging (MRI), demonstrates that our proposed method efficiently enhances the reconstruction accuracy even in dispersive medium.
影响因子：
3.8
作者：
Shea, Jacob D.;Kosmas, Panagiotis;Van Veen, Barry D.
通讯作者：
Van Veen, Barry D.