Enhanced Physics Modelling in Radar-Based Microwave Imaging for Breast Cancer Detection

IF 3 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Tyson Reimer;Spencer Christie;Illia Prykhodko;Stephen Pistorius
{"title":"Enhanced Physics Modelling in Radar-Based Microwave Imaging for Breast Cancer Detection","authors":"Tyson Reimer;Spencer Christie;Illia Prykhodko;Stephen Pistorius","doi":"10.1109/JERM.2024.3453994","DOIUrl":null,"url":null,"abstract":"Microwave-based breast imaging (MBI) is an emerging modality that may serve as a screening tool due to the relatively large dielectric contrast between malignant and healthy tissues, the relatively low cost and small size of microwave hardware, and the favourable safety profile of non-ionizing microwave imaging. After more than two decades of research into MBI and several published clinical trials, challenges remain before the modality can be used clinically. Existing estimates of the diagnostic specificity are relatively low, between 20–65%. As a result of the limited specificity of the technique, existing radar-based image reconstruction algorithms have not demonstrated sufficient accuracy for breast cancer diagnosis. This article proposes using enhanced physics modelling (EPM) to improve the accuracy of the physics models used in image reconstruction to address the limited diagnostic accuracy. The results obtained in this study indicated that using EPM significantly improved the area under the curve (AUC) of the receiver operating characteristic curve. The AUC was improved from (84 <inline-formula><tex-math>$\\pm$</tex-math></inline-formula> 1)% to (92 <inline-formula><tex-math>$\\pm$</tex-math></inline-formula> 1)% through the use of EPM, demonstrating the potential of physics-informed radar-based image reconstruction in MBI.","PeriodicalId":29955,"journal":{"name":"IEEE Journal of Electromagnetics RF and Microwaves in Medicine and Biology","volume":"9 2","pages":"183-190"},"PeriodicalIF":3.0000,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Journal of Electromagnetics RF and Microwaves in Medicine and Biology","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10676318/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

Abstract

Microwave-based breast imaging (MBI) is an emerging modality that may serve as a screening tool due to the relatively large dielectric contrast between malignant and healthy tissues, the relatively low cost and small size of microwave hardware, and the favourable safety profile of non-ionizing microwave imaging. After more than two decades of research into MBI and several published clinical trials, challenges remain before the modality can be used clinically. Existing estimates of the diagnostic specificity are relatively low, between 20–65%. As a result of the limited specificity of the technique, existing radar-based image reconstruction algorithms have not demonstrated sufficient accuracy for breast cancer diagnosis. This article proposes using enhanced physics modelling (EPM) to improve the accuracy of the physics models used in image reconstruction to address the limited diagnostic accuracy. The results obtained in this study indicated that using EPM significantly improved the area under the curve (AUC) of the receiver operating characteristic curve. The AUC was improved from (84 $\pm$ 1)% to (92 $\pm$ 1)% through the use of EPM, demonstrating the potential of physics-informed radar-based image reconstruction in MBI.
基于雷达的微波成像乳腺癌检测的增强物理建模
基于微波的乳房成像(MBI)是一种新兴的方式,可以作为一种筛查工具,因为恶性组织和健康组织之间相对较大的介电对比度,微波硬件相对低成本和小尺寸,以及非电离微波成像有利的安全性。经过20多年对MBI的研究和一些已发表的临床试验,这种模式在临床应用之前仍然存在挑战。现有的诊断特异性估计相对较低,在20-65%之间。由于该技术的特异性有限,现有的基于雷达的图像重建算法在乳腺癌诊断中没有显示出足够的准确性。本文提出使用增强物理建模(enhanced physics modeling, EPM)来提高图像重建中物理模型的准确性,以解决诊断精度有限的问题。本研究结果表明,EPM可显著提高接收机工作特性曲线的曲线下面积(AUC)。通过使用EPM, AUC从(84 $\pm$ 1)%提高到(92 $\pm$ 1)%,证明了基于物理信息的雷达图像重建在MBI中的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
5.80
自引率
9.40%
发文量
58
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信