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多静态微波乳腺成像配置中的三维敏感区映射

3D Sensitivity Zone Mapping in a Multi-Static, Microwave Breast Imaging Configuration.

作者信息

Meaney Paul, Kordiboroujeni Zamzam, Paulsen Keith

机构信息

Thayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA.

出版信息

Sensors (Basel). 2025 Aug 19;25(16):5150. doi: 10.3390/s25165150.

DOI:10.3390/s25165150
PMID:40872010
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12390175/
Abstract

One of the keys to medical microwave tomography is understanding the sensitivity of transmit-receive signals to changes in the electromagnetic properties to be reconstructed. This information is embedded in the Jacobian matrix for traditional inverse problem approaches and is a function of transmitter-receiver design characteristics and associated signal radiation/detection patterns. Previous efforts focused primarily on the 2D imaging problem for which sensitivity maps were generated in a single plane. In this paper, we describe sensitivity maps for the full 3D problem for monopole transceivers and their implications for associated antenna array configurations, including imaging zone coverage and computational efficiency.

摘要

医学微波断层扫描的关键之一在于理解发射 - 接收信号对待重建电磁特性变化的敏感度。该信息嵌入在传统反问题方法的雅可比矩阵中,并且是发射机 - 接收机设计特性以及相关信号辐射/检测模式的函数。先前的工作主要集中在二维成像问题上,在单个平面中生成敏感度图。在本文中,我们描述了单极收发器全三维问题的敏感度图及其对相关天线阵列配置的影响,包括成像区域覆盖和计算效率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3683/12390175/423c0287c204/sensors-25-05150-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3683/12390175/f2bd8c70bc07/sensors-25-05150-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3683/12390175/4d473b4f93dd/sensors-25-05150-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3683/12390175/f6873e8afbad/sensors-25-05150-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3683/12390175/6ca49b4102ae/sensors-25-05150-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3683/12390175/916ed3235df6/sensors-25-05150-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3683/12390175/ac3f41ee004c/sensors-25-05150-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3683/12390175/a6652f8fe262/sensors-25-05150-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3683/12390175/6f32b1e5272f/sensors-25-05150-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3683/12390175/26ecae10f2c2/sensors-25-05150-g009a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3683/12390175/9ed068bbfe6b/sensors-25-05150-g010a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3683/12390175/423c0287c204/sensors-25-05150-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3683/12390175/f2bd8c70bc07/sensors-25-05150-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3683/12390175/4d473b4f93dd/sensors-25-05150-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3683/12390175/f6873e8afbad/sensors-25-05150-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3683/12390175/6ca49b4102ae/sensors-25-05150-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3683/12390175/916ed3235df6/sensors-25-05150-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3683/12390175/ac3f41ee004c/sensors-25-05150-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3683/12390175/a6652f8fe262/sensors-25-05150-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3683/12390175/6f32b1e5272f/sensors-25-05150-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3683/12390175/26ecae10f2c2/sensors-25-05150-g009a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3683/12390175/9ed068bbfe6b/sensors-25-05150-g010a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3683/12390175/423c0287c204/sensors-25-05150-g011.jpg

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本文引用的文献

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Multi-Frequency GPR Microwave Imaging of Sparse Targets through a Multi-Task Bayesian Compressive Sensing Approach.基于多任务贝叶斯压缩感知方法的稀疏目标多频探地雷达微波成像
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微波近场成像的进展:原型、系统与应用
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