Hindawi 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 Liang Qiao,1,2 Xin Chen,3 Ye Zhang,1 Jingna Zhang,1 Yi Wu,4 Ying Li,4 Xuemei Mo,4 Wei Chen,5 Bing Xie,5 and Mingguo Qiu1 1
Department of Medical Image, College of Biomedical Engineering, Third Military Medical University, Chongqing, China Department of Computer Science, College of Biomedical Engineering, Third Military Medical University, Chongqing, China 3 College of Software and Computer, Chongqing Institute of Engineering, Chongqing, China 4 Department of Digital Medicine, College of Biomedical Engineering, Third Military Medical University, Chongqing, China 5 Department of Radiology, Southwest Hospital, Third Military Medical University, Chongqing, China 2
Correspondence should be addressed to Mingguo Qiu;
[email protected] 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. 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
