Thermal influence of brain tumor on MRI images with anisotropic properties

Abdelmajid Bousselham, O. Bouattane, M. Youssfi, A. Raihani
{"title":"Thermal influence of brain tumor on MRI images with anisotropic properties","authors":"Abdelmajid Bousselham, O. Bouattane, M. Youssfi, A. Raihani","doi":"10.1109/ICOA.2018.8370545","DOIUrl":null,"url":null,"abstract":"The main aim of the present paper is the analysis of brain tumors thermal influence on simulated MRI T1-weighted signal intensity by considering tumor anisotropic properties. MRI offers a rich information of the studied tissues and tumors according to the MR nuclear parameters such as T1, T2 and proton density. However, some of these parameters change depending on the temperature. The temperature distribution in tumorous area is higher than surrounding normal tissues, which causes a significant changes on MR parameters, the studied MR parameter in this work is T1 relaxation time. The thermal effect of tumor is calculated by estimating tumor thermal profile, which is converted to T1-weighted signal intensity using Spin Echo sequence (SE). In this wok, numerical strategy by finite difference method was used to solve the Pennes bioheat transfer equation. We considered tumor anisotropic thermal conductivity tensor and found has a significant influence regarding the thermal profile on the tumorous region.","PeriodicalId":433166,"journal":{"name":"2018 4th International Conference on Optimization and Applications (ICOA)","volume":"605 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 4th International Conference on Optimization and Applications (ICOA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOA.2018.8370545","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

The main aim of the present paper is the analysis of brain tumors thermal influence on simulated MRI T1-weighted signal intensity by considering tumor anisotropic properties. MRI offers a rich information of the studied tissues and tumors according to the MR nuclear parameters such as T1, T2 and proton density. However, some of these parameters change depending on the temperature. The temperature distribution in tumorous area is higher than surrounding normal tissues, which causes a significant changes on MR parameters, the studied MR parameter in this work is T1 relaxation time. The thermal effect of tumor is calculated by estimating tumor thermal profile, which is converted to T1-weighted signal intensity using Spin Echo sequence (SE). In this wok, numerical strategy by finite difference method was used to solve the Pennes bioheat transfer equation. We considered tumor anisotropic thermal conductivity tensor and found has a significant influence regarding the thermal profile on the tumorous region.
脑肿瘤对各向异性MRI图像的热影响
本文的主要目的是在考虑肿瘤各向异性的情况下,分析脑肿瘤热对模拟MRI t1加权信号强度的影响。MRI根据磁共振核参数如T1、T2和质子密度,提供了所研究组织和肿瘤的丰富信息。然而,其中一些参数会随着温度的变化而变化。肿瘤区域温度分布高于周围正常组织,导致MR参数发生明显变化,本文研究的MR参数为T1弛豫时间。通过估计肿瘤热分布来计算肿瘤的热效应,利用自旋回波序列(Spin Echo sequence, SE)将热分布转换为t1加权信号强度。本文采用有限差分法求解Pennes生物传热方程。我们考虑肿瘤各向异性热导张量,发现对肿瘤区域的热分布有显著影响。
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:481959085
Book学术官方微信