基于传输的微波系统的快速3D乳房成像

Pedram Mojabi;Jeremie Bourqui;Elise Fear
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引用次数: 0

摘要

微波乳房成像最近被用于肿瘤检测、治疗监测和估计乳房密度。只有一项先前的工作提出了基于全波逆散射方法的定量三维(3D)乳房成像,该方法应用于从人类受试者收集的实验数据;大多数其他作品依赖于定量二维图像或定性重建。本文介绍了一种用于微波乳房成像的快速、高效的三维定量重建方法,而不需要先验信息或通常用于求解全波方程的迭代算法。该方法假设波以直线传播,类似于超声成像中的射线追踪方法,并在此假设基础上制定算法。该算法采用一种新型的微波传输系统,应用于宽带范围内多天线采集的数据。该系统被设计成与乳房直接接触,不需要匹配的介质。我们通过实验证明了具有不同尺寸和数量夹杂物的石墨幻影的定量三维介电常数重建,并将结果与这些幻影的现有3D CT扫描结果进行了比较。接下来,我们在四名不同乳腺密度类别的健康参与者身上测试了该算法的三维定量介电常数重建,并将图像与乳房x线照片进行了比较。最后,证明了三维介电常数重建在三个时间点上对参与者的稳定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fast 3D Breast Imaging With a Transmission-Based Microwave System
Microwave breast imaging has recently been explored for tumor detection, treatment monitoring, and estimating breast density. Only one prior work has presented quantitative three-dimensional (3D) breast imaging based on a full-wave inverse scattering approach applied to experimental data collected from human subjects; most other works rely on quantitative 2D images or qualitative reconstructions. This paper introduces a fast and efficient 3D quantitative reconstruction approach for microwave breast imaging without the need for prior information or iterative algorithms typically used in solving full-wave equations. The method assumes wave propagation in straight lines, similar to the ray tracing method used in ultrasound imaging, and formulates the algorithm based on this assumption. The algorithm is applied to data collected at multiple antennas over a wideband frequency range with a novel microwave transmission system. This system is designed to be in direct contact with the breast, eliminating the need for a matching medium. We experimentally demonstrate quantitative 3D permittivity reconstruction for graphite phantoms with various sizes and numbers of inclusions, comparing the results with available 3D CT scans of these phantoms. Next, we test this algorithm for 3D quantitative permittivity reconstruction in four healthy participants with different breast density categories and compare the images with their mammograms. Finally, the stability of the 3D permittivity reconstruction over three time points for the participants is demonstrated.
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