使用同位可变形细胞模型的MRI皮质表面和脑体积的连接分割

Y. Cointepas, I. Bloch, L. Garnero
{"title":"使用同位可变形细胞模型的MRI皮质表面和脑体积的连接分割","authors":"Y. Cointepas, I. Bloch, L. Garnero","doi":"10.1109/IM.1999.805354","DOIUrl":null,"url":null,"abstract":"The paper presents a novel method to segment both the brain volume and the cortical surface from a MR image of the head using a single model. This method is based on an original deformable model which can handle jointly volumes and surfaces using a cellular complex based representation. The model is initialized on the outer brain surface and then deformed inside the cortex folds according to both volumic and surfacic constraints, while preserving topology.","PeriodicalId":110347,"journal":{"name":"Second International Conference on 3-D Digital Imaging and Modeling (Cat. No.PR00062)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Joined segmentation of cortical surface and brain volume in MRI using a homotopic deformable cellular model\",\"authors\":\"Y. Cointepas, I. Bloch, L. Garnero\",\"doi\":\"10.1109/IM.1999.805354\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents a novel method to segment both the brain volume and the cortical surface from a MR image of the head using a single model. This method is based on an original deformable model which can handle jointly volumes and surfaces using a cellular complex based representation. The model is initialized on the outer brain surface and then deformed inside the cortex folds according to both volumic and surfacic constraints, while preserving topology.\",\"PeriodicalId\":110347,\"journal\":{\"name\":\"Second International Conference on 3-D Digital Imaging and Modeling (Cat. No.PR00062)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-10-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Second International Conference on 3-D Digital Imaging and Modeling (Cat. No.PR00062)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IM.1999.805354\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Second International Conference on 3-D Digital Imaging and Modeling (Cat. No.PR00062)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IM.1999.805354","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

摘要

本文提出了一种利用单一模型从头部MR图像中分割脑体积和皮层表面的新方法。该方法基于原始的可变形模型,该模型可以使用基于细胞复合体的表示来联合处理体积和表面。该模型在大脑外表面初始化,然后在保持拓扑结构的同时,根据体积和表面约束在皮层褶皱内变形。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Joined segmentation of cortical surface and brain volume in MRI using a homotopic deformable cellular model
The paper presents a novel method to segment both the brain volume and the cortical surface from a MR image of the head using a single model. This method is based on an original deformable model which can handle jointly volumes and surfaces using a cellular complex based representation. The model is initialized on the outer brain surface and then deformed inside the cortex folds according to both volumic and surfacic constraints, while preserving topology.
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