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International Journal of Telemedicine and Applications
Volume 2017, Article ID 4074137, 13 pages
https://doi.org/10.1155/2017/4074137
Research Article

An HTML5-Based Pure Website Solution for Rapidly Viewing and Processing Large-Scale 3D Medical Volume Reconstruction on Mobile Internet

1Department of Medical Image, College of Biomedical Engineering, Third Military Medical University, Chongqing, China
2Department of Computer Science, College of Biomedical Engineering, Third Military Medical University, Chongqing, China
3College of Software and Computer, Chongqing Institute of Engineering, Chongqing, China
4Department of Digital Medicine, College of Biomedical Engineering, Third Military Medical University, Chongqing, China
5Department of Radiology, Southwest Hospital, Third Military Medical University, Chongqing, China

Correspondence should be addressed to Mingguo Qiu; moc.361@oaiqbob

Received 10 January 2017; Revised 24 March 2017; Accepted 13 April 2017; Published 30 May 2017

Academic Editor: Manolis Tsiknakis

Copyright © 2017 Liang Qiao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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.