基于洛伦兹力振幅的磁声层析成像重建方法

Jin Liu, Liang Mao, Dakun Lai, Guoqiang Liu
{"title":"基于洛伦兹力振幅的磁声层析成像重建方法","authors":"Jin Liu, Liang Mao, Dakun Lai, Guoqiang Liu","doi":"10.1109/ICISCE.2016.29","DOIUrl":null,"url":null,"abstract":"Magnetoacoustic tomography with magnetic induction (MAT-MI) is a recently introduced method for imaging electrical impedance properties of biological tissue, which integrates classic electrical impedance tomography and ultrasonic technique. Image reconstruction is the key problem of MAT-MI. At present, there are certain problems for the image reconstruction methods which based on the divergence of Lorentz force. In this work, a novel reconstruction method based on the amplitude of Lorentz force instead of its divergence is proposed to avoid the singularity of the divergence of Lorentz force on the interface between two kinds of medium. Meanwhile, a two dimensional complex model was built, and preliminarily numerical simulations were carried out to evaluate the proposed method. With the rhetorical analysis and computational results, the proposed straightforward method for imaging electrical impedance properties would potentially be implemented more accurately for the MAT-MI system.","PeriodicalId":6882,"journal":{"name":"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Novel Reconstruction Method of Magnetoacoustic Tomography with Magnetic Induction Based on the Amplitude of Lorentz Force\",\"authors\":\"Jin Liu, Liang Mao, Dakun Lai, Guoqiang Liu\",\"doi\":\"10.1109/ICISCE.2016.29\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Magnetoacoustic tomography with magnetic induction (MAT-MI) is a recently introduced method for imaging electrical impedance properties of biological tissue, which integrates classic electrical impedance tomography and ultrasonic technique. Image reconstruction is the key problem of MAT-MI. At present, there are certain problems for the image reconstruction methods which based on the divergence of Lorentz force. In this work, a novel reconstruction method based on the amplitude of Lorentz force instead of its divergence is proposed to avoid the singularity of the divergence of Lorentz force on the interface between two kinds of medium. Meanwhile, a two dimensional complex model was built, and preliminarily numerical simulations were carried out to evaluate the proposed method. With the rhetorical analysis and computational results, the proposed straightforward method for imaging electrical impedance properties would potentially be implemented more accurately for the MAT-MI system.\",\"PeriodicalId\":6882,\"journal\":{\"name\":\"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICISCE.2016.29\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICISCE.2016.29","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

磁感应磁声层析成像(MAT-MI)是近年来引入的一种生物组织电阻抗特性成像方法,它将经典的电阻抗层析成像技术与超声波技术相结合。图像重建是MAT-MI的关键问题。目前,基于洛伦兹力散度的图像重建方法存在一定的问题。本文提出了一种基于洛伦兹力振幅而非其散度的重构方法,以避免两种介质界面上洛伦兹力散度的奇异性。同时,建立了二维复杂模型,并进行了初步的数值模拟,对该方法进行了评价。通过修辞分析和计算结果,提出的直观的电阻抗特性成像方法可能更准确地实现MAT-MI系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
A Novel Reconstruction Method of Magnetoacoustic Tomography with Magnetic Induction Based on the Amplitude of Lorentz Force
Magnetoacoustic tomography with magnetic induction (MAT-MI) is a recently introduced method for imaging electrical impedance properties of biological tissue, which integrates classic electrical impedance tomography and ultrasonic technique. Image reconstruction is the key problem of MAT-MI. At present, there are certain problems for the image reconstruction methods which based on the divergence of Lorentz force. In this work, a novel reconstruction method based on the amplitude of Lorentz force instead of its divergence is proposed to avoid the singularity of the divergence of Lorentz force on the interface between two kinds of medium. Meanwhile, a two dimensional complex model was built, and preliminarily numerical simulations were carried out to evaluate the proposed method. With the rhetorical analysis and computational results, the proposed straightforward method for imaging electrical impedance properties would potentially be implemented more accurately for the MAT-MI system.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Method for Color Calibration Based on Simulated Annealing Optimization Temperature Analysis in the Fused Deposition Modeling Process Classification of Hyperspectral Image Based on K-Means and Structured Sparse Coding Analysis and Prediction of Epilepsy Based on Visibility Graph Design of Control System for a Rehabilitation Device for Joints of Lower Limbs
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1