脑磁共振图像的分割使用ITK, VTK和MeVisLab

Duygu Sertel, Yunus Şen Bozdemir, Nalan Özkurt
{"title":"脑磁共振图像的分割使用ITK, VTK和MeVisLab","authors":"Duygu Sertel, Yunus Şen Bozdemir, Nalan Özkurt","doi":"10.1109/BIYOMUT.2010.5479855","DOIUrl":null,"url":null,"abstract":"In this study, the white matter, gray matter and the tissues affected by Multiple Sclerosis are segmented semi-automatically from Magnetic Resonance images using programming environments ITK (Insight Registration and Segmentation Toolkit), VTK (Visualization Toolkit) and MeVisLab (Medical Image Processing and Visualization).","PeriodicalId":180275,"journal":{"name":"2010 15th National Biomedical Engineering Meeting","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Segmentation of Brain Magnetic Resonance images using ITK, VTK and MeVisLab\",\"authors\":\"Duygu Sertel, Yunus Şen Bozdemir, Nalan Özkurt\",\"doi\":\"10.1109/BIYOMUT.2010.5479855\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study, the white matter, gray matter and the tissues affected by Multiple Sclerosis are segmented semi-automatically from Magnetic Resonance images using programming environments ITK (Insight Registration and Segmentation Toolkit), VTK (Visualization Toolkit) and MeVisLab (Medical Image Processing and Visualization).\",\"PeriodicalId\":180275,\"journal\":{\"name\":\"2010 15th National Biomedical Engineering Meeting\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-04-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 15th National Biomedical Engineering Meeting\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BIYOMUT.2010.5479855\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 15th National Biomedical Engineering Meeting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIYOMUT.2010.5479855","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

在本研究中,使用ITK (Insight Registration and Segmentation Toolkit)、VTK (Visualization Toolkit)和MeVisLab (Medical Image Processing and Visualization)编程环境,对磁共振图像中的白质、灰质和受多发性硬化症影响的组织进行半自动分割。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Segmentation of Brain Magnetic Resonance images using ITK, VTK and MeVisLab
In this study, the white matter, gray matter and the tissues affected by Multiple Sclerosis are segmented semi-automatically from Magnetic Resonance images using programming environments ITK (Insight Registration and Segmentation Toolkit), VTK (Visualization Toolkit) and MeVisLab (Medical Image Processing and Visualization).
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
×
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