MR Image Monomodal Registration Using Structure Similarity Index

O. Ben Sassi, T. Delleji, A. Taleb-Ahmed, I. Feki, A. Ben Hamida
{"title":"MR Image Monomodal Registration Using Structure Similarity Index","authors":"O. Ben Sassi, T. Delleji, A. Taleb-Ahmed, I. Feki, A. Ben Hamida","doi":"10.1109/IPTA.2008.4743741","DOIUrl":null,"url":null,"abstract":"Image registration in medical imagery is one useful technique with an important role especially for pathology survey and control, medical treatment, or for post-operative control. It is based essentially on the similarity criterion measurement because it defines the objective criterion used to estimate registration quality between the homologous structures of images. This paper describes one application of the SSIM method as a similarity metric in the image registration technique. Usually the SSIM method is used in the images' quality measurement, it consists in the combination of the comparison of luminance, the comparison of contrast, and the comparison of structure between two images. This property allowed us to adapt this approach in MR image monomodal registration and demonstrate its performance.","PeriodicalId":384072,"journal":{"name":"2008 First Workshops on Image Processing Theory, Tools and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 First Workshops on Image Processing Theory, Tools and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPTA.2008.4743741","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

Image registration in medical imagery is one useful technique with an important role especially for pathology survey and control, medical treatment, or for post-operative control. It is based essentially on the similarity criterion measurement because it defines the objective criterion used to estimate registration quality between the homologous structures of images. This paper describes one application of the SSIM method as a similarity metric in the image registration technique. Usually the SSIM method is used in the images' quality measurement, it consists in the combination of the comparison of luminance, the comparison of contrast, and the comparison of structure between two images. This property allowed us to adapt this approach in MR image monomodal registration and demonstrate its performance.
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
基于结构相似度指数的MR图像单模配准
图像配准是医学图像中的一项重要技术,尤其在病理调查和控制、医学治疗或术后控制中具有重要作用。它本质上是基于相似性准则测量,因为它定义了用于估计图像同源结构之间配准质量的客观标准。本文描述了SSIM方法在图像配准技术中作为相似度度量的一个应用。图像质量的测量通常采用SSIM方法,它包括两幅图像之间亮度的比较、对比度的比较和结构的比较。这一特性使我们能够将该方法应用于MR图像的单模配准,并证明了其性能。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
An Altered Image Alignment Technique for 3D Motion Estimation of a Reflective Sphere A New Approach to Face Image Coding using Gabor Wavelet Networks Artificial Neural Networks Based Image Processing & Pattern Recognition: From Concepts to Real-World Applications A New Spatial Approach to Image Restoration Detection and Counting of "in vivo" cells to predict cell migratory potential
×
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:604180095
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