脑磁共振图像的重建与拓扑清理

Sylvain Gerbaud, S. Horna, R. Zrour, Mathieu Naudin, C. Guillevin, P. Meseure
{"title":"脑磁共振图像的重建与拓扑清理","authors":"Sylvain Gerbaud, S. Horna, R. Zrour, Mathieu Naudin, C. Guillevin, P. Meseure","doi":"10.1109/ICABME53305.2021.9604811","DOIUrl":null,"url":null,"abstract":"This paper presents a new approach for topological classification and cleaning of 3D model in medical images that respects a desired topology. First a Marching Cubes-based method is applied on segmented MR Images providing thus a closed surface mesh. A topological structure (Gmap) allowing to control the topology is then generated. Lastly a classification and correction based on specific characteristics relative to volumes, such as the number of faces or exact volume size is done. This topological structure permits to handle and manage topological, geometrical and medical information inside a healthy brain and even for a brain with a tumor or a lesion.","PeriodicalId":294393,"journal":{"name":"2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Reconstruction and topological cleaning of brain MR Images\",\"authors\":\"Sylvain Gerbaud, S. Horna, R. Zrour, Mathieu Naudin, C. Guillevin, P. Meseure\",\"doi\":\"10.1109/ICABME53305.2021.9604811\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a new approach for topological classification and cleaning of 3D model in medical images that respects a desired topology. First a Marching Cubes-based method is applied on segmented MR Images providing thus a closed surface mesh. A topological structure (Gmap) allowing to control the topology is then generated. Lastly a classification and correction based on specific characteristics relative to volumes, such as the number of faces or exact volume size is done. This topological structure permits to handle and manage topological, geometrical and medical information inside a healthy brain and even for a brain with a tumor or a lesion.\",\"PeriodicalId\":294393,\"journal\":{\"name\":\"2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME)\",\"volume\":\"97 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICABME53305.2021.9604811\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICABME53305.2021.9604811","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

本文提出了一种新的医学图像拓扑分类和三维模型清洗的方法,该方法符合所需的拓扑结构。首先,将基于移动立方体的方法应用于分割的MR图像,从而提供一个封闭的表面网格。然后生成允许控制拓扑的拓扑结构(Gmap)。最后,根据相对于体积的特定特征(如面数或确切的体积大小)进行分类和校正。这种拓扑结构允许处理和管理健康大脑内的拓扑、几何和医学信息,甚至是有肿瘤或病变的大脑。
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
Reconstruction and topological cleaning of brain MR Images
This paper presents a new approach for topological classification and cleaning of 3D model in medical images that respects a desired topology. First a Marching Cubes-based method is applied on segmented MR Images providing thus a closed surface mesh. A topological structure (Gmap) allowing to control the topology is then generated. Lastly a classification and correction based on specific characteristics relative to volumes, such as the number of faces or exact volume size is done. This topological structure permits to handle and manage topological, geometrical and medical information inside a healthy brain and even for a brain with a tumor or a lesion.
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
Usefulness of Functional MRI Textures in the Evaluation of Renal Function Personalized spatial recruitment model to motor unit type and number Distinguishing Hearts: How Machine Learning identifies People based on their Heartbeat Comparing Healthy Subjects and Alzheimer’s Disease Patients using Brain Network Similarity: a Preliminary Study Digital deparaffinization of Raman spectral image acquired on FFPE human skin tissue
×
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