An HTML5-Based Pure Website Solution for Rapidly Viewing and Processing Large-Scale 3D Medical Volume Reconstruction on Mobile Internet. (30th May 2017)

• Record Type: Journal Article
• Authors: Qiao, Liang; Chen, Xin; Zhang, Ye; Zhang, Jingna; Wu, Yi; Li, Ying; Mo, Xuemei; Chen, Wei; Xie, Bing; Qiu, Mingguo
• Other Names: Tsiknakis Manolis Academic Editor.
• Is Part Of: International journal of telemedicine and applications. Volume 2017(2017)
• Publication Date: 2017-05-30
• Subjects: Telecommunication in medicine -- Periodicals; Medical telematics -- Periodicals; Télémédecine; Télématique médicale; Medical telematics; Telecommunication in medicine; Telemedicine -- Periodicals; Medical Informatics -- Periodicals; Biomedical Technology -- Periodicals; Electronic journals; Periodicals; 610.285
• DOI: 10.1155/2017/4074137
• Languages: English
• ISSNs: 1687-6415

Abstract

Abstract : This study aimed to propose a pure web-based solution to serve users to access large-scale 3D medical volume anywhere with good user experience and complete details. A novel solution of the Master-Slave interaction mode was proposed, which absorbed advantages of remote volume rendering and surface rendering. On server side, we designed a message-responding mechanism to listen to interactive requests from clients ( Slave model) and to guide Master volume rendering. On client side, we used HTML5 to normalize user-interactive behaviors on Slave model and enhance the accuracy of behavior request and user-friendly experience. The results showed that more than four independent tasks (each with a data size of 249.4 MB) could be simultaneously carried out with a 100-KBps client bandwidth (extreme test); the first loading time was <12 s, and the response time of each behavior request for final high quality image remained at approximately 1 s, while the peak value of bandwidth was <50-KBps. Meanwhile, the FPS value for each client was ≥40. This solution could serve the users by rapidly accessing the application via one URL hyperlink without special software and hardware requirement in a diversified network environment and could be easily integrated into other telemedical systems seamlessly.