Detection of Breast Tumor in Scattered Fibroglandular Breast Tissue Using Inverse Scattering Technique

K. H. Ping, Amy Sahida Binti Soetarman, B. S. Wee, S. Sahrani, D. Zaidel, Dyg Azra Awang Mat, M. Islam, Md. Zulfiker Mahmud, T. Moriyama
{"title":"Detection of Breast Tumor in Scattered Fibroglandular Breast Tissue Using Inverse Scattering Technique","authors":"K. H. Ping, Amy Sahida Binti Soetarman, B. S. Wee, S. Sahrani, D. Zaidel, Dyg Azra Awang Mat, M. Islam, Md. Zulfiker Mahmud, T. Moriyama","doi":"10.1109/ICASSDA.2018.8477595","DOIUrl":null,"url":null,"abstract":"In this paper, Forward-Backward Time-Stepping inverse scattering technique is utilized to detect the presence of malignant tumor in a scattered fibroglandular tissue of the breast. A 2D slice on the coronal plane from the 3D numerical scattered fibroglandular breast phantom is selected. The tumor is added into breast phantom with low contrast between the normal breast and malignant tumor tissue. Through numerous simulations, FBTS technique showed the ability to identify the presence of 6mm in diameter tumor embedded in fibroglandular tissue of the breast at low frequency. As frequency increases, this technique was unable to reconstruct the object under test (OUT) accurately. In order to solve this problem at higher frequency, Frequency-Hopping approach is then applied to integrate with the FBTS technique. The presence of tumor successfully detected and computational time is also reduced.","PeriodicalId":185167,"journal":{"name":"2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA)","volume":"30 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASSDA.2018.8477595","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In this paper, Forward-Backward Time-Stepping inverse scattering technique is utilized to detect the presence of malignant tumor in a scattered fibroglandular tissue of the breast. A 2D slice on the coronal plane from the 3D numerical scattered fibroglandular breast phantom is selected. The tumor is added into breast phantom with low contrast between the normal breast and malignant tumor tissue. Through numerous simulations, FBTS technique showed the ability to identify the presence of 6mm in diameter tumor embedded in fibroglandular tissue of the breast at low frequency. As frequency increases, this technique was unable to reconstruct the object under test (OUT) accurately. In order to solve this problem at higher frequency, Frequency-Hopping approach is then applied to integrate with the FBTS technique. The presence of tumor successfully detected and computational time is also reduced.
应用逆散射技术检测散在乳腺纤维腺组织中的乳腺肿瘤
本文采用前向后退时步反散射技术检测乳腺散在纤维腺组织中是否存在恶性肿瘤。从三维数值散在纤维腺乳腺幻影中选择冠状面上的二维切片。正常乳腺和恶性肿瘤组织的低对比显示,肿瘤被添加到乳房幻象中。通过大量的模拟,FBTS技术显示出低频识别埋于乳腺纤维腺组织中直径6mm肿瘤的能力。随着频率的增加,该技术无法准确地重建被测对象(OUT)。为了在更高的频率下解决这一问题,采用跳频方法与FBTS技术相结合。成功地检测了肿瘤的存在,减少了计算时间。
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
自引率
0.00%
发文量
0
×
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:604180095
Book学术官方微信