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基于超宽带(UWB)天线传感器的微波乳腺成像:综述。

Ultra-Wideband (UWB) Antenna Sensor Based Microwave Breast Imaging: A Review.

机构信息

Department of AIS, Jagannath University, Dhaka 1100, Bangladesh.

Centre of Advanced Electronic and Communication Engineering, Universiti Kebangsaan Malaysia, 43600 Bangi, Malaysia.

出版信息

Sensors (Basel). 2018 Sep 5;18(9):2951. doi: 10.3390/s18092951.

DOI:10.3390/s18092951
PMID:30189633
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6165197/
Abstract

Globally, breast cancer is reported as a primary cause of death in women. More than 1.8 million new breast cancer cases are diagnosed every year. Because of the current limitations on clinical imaging, researchers are motivated to investigate complementary tools and alternatives to available techniques for detecting breast cancer in earlier stages. This article presents a review of concepts and electromagnetic techniques for microwave breast imaging. More specifically, this work reviews ultra-wideband (UWB) antenna sensors and their current applications in medical imaging, leading to breast imaging. We review the use of UWB sensor based microwave energy in various imaging applications for breast tumor related diseases, tumor detection, and breast tumor detection. In microwave imaging, the back-scattered signals radiating by sensors from a human body are analyzed for changes in the electrical properties of tissues. Tumorous cells exhibit higher dielectric constants because of their high water content. The goal of this article is to provide microwave researchers with in-depth information on electromagnetic techniques for microwave imaging sensors and describe recent developments in these techniques.

摘要

全球范围内,乳腺癌被报道为女性的主要死亡原因。每年诊断出超过 180 万例新的乳腺癌病例。由于目前临床成像的局限性,研究人员有动力研究补充工具和替代现有技术,以便更早地发现乳腺癌。本文综述了用于微波乳腺成像的概念和电磁技术。更具体地说,这项工作回顾了超宽带 (UWB) 天线传感器及其在医学成像中的当前应用,从而实现了乳房成像。我们回顾了基于 UWB 传感器的微波能量在各种与乳房肿瘤相关疾病、肿瘤检测和乳房肿瘤检测的成像应用中的使用。在微波成象中,从人体辐射的传感器的反向散射信号被分析以检测组织的电特性变化。由于肿瘤细胞含有高含水量,因此具有更高的介电常数。本文的目的是为微波研究人员提供有关微波成像传感器的电磁技术的深入信息,并描述这些技术的最新发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f95/6165197/756b5c488107/sensors-18-02951-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f95/6165197/5c5757a19881/sensors-18-02951-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f95/6165197/d22340169ff2/sensors-18-02951-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f95/6165197/27b2312a6857/sensors-18-02951-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f95/6165197/a065b4c11d68/sensors-18-02951-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f95/6165197/141c9065b078/sensors-18-02951-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f95/6165197/82d23a44f822/sensors-18-02951-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f95/6165197/b148f5df3f23/sensors-18-02951-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f95/6165197/d1f70c700784/sensors-18-02951-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f95/6165197/756b5c488107/sensors-18-02951-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f95/6165197/5c5757a19881/sensors-18-02951-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f95/6165197/d22340169ff2/sensors-18-02951-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f95/6165197/27b2312a6857/sensors-18-02951-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f95/6165197/a065b4c11d68/sensors-18-02951-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f95/6165197/141c9065b078/sensors-18-02951-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f95/6165197/82d23a44f822/sensors-18-02951-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f95/6165197/b148f5df3f23/sensors-18-02951-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f95/6165197/d1f70c700784/sensors-18-02951-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f95/6165197/756b5c488107/sensors-18-02951-g009.jpg

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