近自动检测CT/MRI融合的箭头状标记

P. Elsen, Loek van 't Zelfde, M. Viergever
{"title":"近自动检测CT/MRI融合的箭头状标记","authors":"P. Elsen, Loek van 't Zelfde, M. Viergever","doi":"10.1109/ICPR.1992.201670","DOIUrl":null,"url":null,"abstract":"An algorithm is presented to detect arrow-shaped skin markers that have been designed for matching of CT and MR images. The markers can be located in the images with subslice accuracy, which allows accurate registration even in standard imaging protocols employing thick slices and/or large interslice gaps. In the past, extracting the marker information from the images has been a highly interactive process. The algorithm described only requires a minimal amount of user interaction.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Near-automatic detection of arrow-shaped markers for CT/MRI fusion\",\"authors\":\"P. Elsen, Loek van 't Zelfde, M. Viergever\",\"doi\":\"10.1109/ICPR.1992.201670\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An algorithm is presented to detect arrow-shaped skin markers that have been designed for matching of CT and MR images. The markers can be located in the images with subslice accuracy, which allows accurate registration even in standard imaging protocols employing thick slices and/or large interslice gaps. In the past, extracting the marker information from the images has been a highly interactive process. The algorithm described only requires a minimal amount of user interaction.<<ETX>>\",\"PeriodicalId\":410961,\"journal\":{\"name\":\"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPR.1992.201670\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPR.1992.201670","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

提出了一种检测用于CT和MR图像匹配的箭头形状皮肤标记的算法。标记可以定位在具有子切片精度的图像中,即使在采用厚切片和/或大间距的标准成像方案中,也可以实现准确的配准。过去,从图像中提取标记信息是一个高度交互的过程。所描述的算法只需要最少的用户交互
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Near-automatic detection of arrow-shaped markers for CT/MRI fusion
An algorithm is presented to detect arrow-shaped skin markers that have been designed for matching of CT and MR images. The markers can be located in the images with subslice accuracy, which allows accurate registration even in standard imaging protocols employing thick slices and/or large interslice gaps. In the past, extracting the marker information from the images has been a highly interactive process. The algorithm described only requires a minimal amount of user interaction.<>
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:604180095
Book学术官方微信