Time-of-arrival calibration for improving the microwave breast cancer imaging

Fan Yang, A. Mohan
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引用次数: 1

Abstract

In radar based confocal microwave imaging for breast cancer detection, recorded data are synthetically focused to a confocal point within the breast. This is the basis for both data-independent and data adaptive methods to form the breast image and can be enhanced by multistatic approach. This approach inherently assumes that the propagation velocity depends only on the average dielectric property of the breast. However, in real cases, the breast tissues are inhomogeneous and therefore the propagation velocities vary for different propagation paths. Thus, use of an average propagation velocity can result in false localization. This paper proposes an auto-calibration method to compensate the time-of-arrival from confocal point to the receiving antennas. We demonstrate using simulations on FDTD numerical breast phantoms that the proposed method helps to form an enhanced image for inhomogeneous breast.
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改善微波乳腺癌成像的到达时间校准
在用于乳腺癌检测的雷达共聚焦微波成像中,记录的数据被综合聚焦到乳房内的一个共聚焦点。这是数据独立和数据自适应方法形成乳房图像的基础,可以通过多静态方法增强。这种方法固有地假定传播速度只取决于乳房的平均介电特性。然而,在实际情况下,乳腺组织是不均匀的,因此传播速度因不同的传播路径而异。因此,使用平均传播速度可能导致错误定位。本文提出了一种补偿共聚焦到接收天线到达时间的自动校准方法。通过对时域有限差分数值乳房幻象的模拟,我们证明了所提出的方法有助于形成非均匀乳房的增强图像。
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