{"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.