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

Author:

Qiao Liang12ORCID,Chen Xin3,Zhang Ye1,Zhang Jingna1,Wu Yi4ORCID,Li Ying4,Mo Xuemei4,Chen Wei5,Xie Bing5ORCID,Qiu Mingguo1ORCID

Affiliation:

1. Department of Medical Image, College of Biomedical Engineering, Third Military Medical University, Chongqing, China

2. 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

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.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

Health Information Management,Computer Networks and Communications,Health Informatics,Medicine (miscellaneous)

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