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高频激励与乳腺组织表面温度分析用于异常检测。

High-Frequency Excitation and Surface Temperature Analysis of Breast Tissue for Detection of Anomaly.

机构信息

Department of Electrical Engineering, University of Texas at Dallas, Richardson, TX, USA.

Ansys Inc., San Jose, CA, USA.

出版信息

Biomed Res Int. 2023 Feb 8;2023:4406235. doi: 10.1155/2023/4406235. eCollection 2023.

Abstract

Techniques used for breast cancer detection usually incorporate Infrared Thermography (IRT) to locate abnormal hotspots or asymmetry in a thermal texture map. This can be unreliable due to various individual differences from one person to another. In this paper, a detection method that is independent of the aforementioned limitations is proposed. This technique is a combination of thermal imaging and high-frequency excitation. This technique is based on the fact that the differences in electromagnetic and thermal properties of abnormal (malignant) tissue and the surrounding normal tissue will result in a noticeable difference in temperature increase after exposure to high-frequency excitation. A three-dimensional (3-D) finite-element method (FEM) has been used to simulate the thermal behavior of breast tissue exposed to antenna excitations. Finally, the effectiveness of this technique was tested in a series of experiments using a life-sized breast phantom.

摘要

用于乳腺癌检测的技术通常采用红外热成像(IRT)来定位热纹理图中的异常热点或不对称性。但由于人与人之间存在各种个体差异,这种方法可能并不可靠。在本文中,提出了一种不受上述限制的检测方法。该技术是热成像和高频激发的结合。这种技术基于这样一个事实,即异常(恶性)组织和周围正常组织的电磁和热特性的差异将导致在高频激发后温度升高的明显差异。已经使用三维(3-D)有限元方法(FEM)来模拟暴露于天线激发的乳房组织的热行为。最后,使用真人大小的乳房模型进行了一系列实验来测试该技术的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f669/9935923/5510220db2d2/BMRI2023-4406235.001.jpg

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