Dual-Modality Cardiac Data Real-Time Rendering and Synchronization in Web Browsers

Qi Zhang
{"title":"Dual-Modality Cardiac Data Real-Time Rendering and Synchronization in Web Browsers","authors":"Qi Zhang","doi":"10.1109/CCECE47787.2020.9255742","DOIUrl":null,"url":null,"abstract":"Multimodality medical data visualization can convey a significant amount of complementary image information from various sources into a single and meaningful display. Even though there have been publications on integrating multiple medical images into a unique 3D representation, there are no researches on rendering registered multiple medical data in web browsers and synchronizing the rendering results over Internet, especially in cardiac applications. Web-based multimodality medical data display is hampered by the large size of the dataset that makes the rendering and information streaming too slow to be applied in clinical diagnosis and treatment. In this paper, we introduce new algorithms and a software platform to address this issue. The presented research results take advantages of bidirectional network connection and hardware accelerated graphics shader processing to real-time fuse and display inner organ structures in web browsers and stream the rendering results over Internet, which will provide medical users with intuitive feedback in collaborative cardiac diagnosis and image-guided remote therapy.","PeriodicalId":296506,"journal":{"name":"2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","volume":"41 2","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCECE47787.2020.9255742","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Multimodality medical data visualization can convey a significant amount of complementary image information from various sources into a single and meaningful display. Even though there have been publications on integrating multiple medical images into a unique 3D representation, there are no researches on rendering registered multiple medical data in web browsers and synchronizing the rendering results over Internet, especially in cardiac applications. Web-based multimodality medical data display is hampered by the large size of the dataset that makes the rendering and information streaming too slow to be applied in clinical diagnosis and treatment. In this paper, we introduce new algorithms and a software platform to address this issue. The presented research results take advantages of bidirectional network connection and hardware accelerated graphics shader processing to real-time fuse and display inner organ structures in web browsers and stream the rendering results over Internet, which will provide medical users with intuitive feedback in collaborative cardiac diagnosis and image-guided remote therapy.
Web浏览器中双模态心脏数据实时渲染和同步
多模态医学数据可视化可以将来自不同来源的大量互补图像信息传递到一个单一且有意义的显示中。尽管已经有关于将多个医学图像集成为一个独特的3D表示的出版物,但在web浏览器中渲染注册的多个医疗数据并在互联网上同步渲染结果的研究,特别是在心脏应用中。基于web的多模态医疗数据显示由于数据集规模大,导致呈现和信息流太慢,无法应用于临床诊断和治疗。在本文中,我们引入了新的算法和一个软件平台来解决这个问题。本研究成果利用双向网络连接和硬件加速图形着色处理的优势,在web浏览器中实时融合和显示器官内部结构,并将渲染结果流式传输到Internet上,为医疗用户提供心脏协同诊断和图像引导远程治疗的直观反馈。
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 求助全文
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