Related Experiment Video
Updated: Feb 28, 2026
03:55
Computer-Aided Three-Dimensional Visualization in the Treatment of Locally Advanced Thyroid Cancer
Published on: June 9, 2023
1.1K
An HTML5-Based Pure Website Solution for Rapidly Viewing and Processing Large-Scale 3D Medical Volume Reconstruction
Liang Qiao1,2, Xin Chen3, Ye Zhang1
1Department of Medical Image, College of Biomedical Engineering, Third Military Medical University, Chongqing, China.
International Journal of Telemedicine and Applications
|June 23, 2017
Summary
A novel web-based solution enables seamless access to large-scale 3D medical volumes. This master-slave system ensures fast loading, quick response times, and high frame rates for remote rendering, improving user experience.
Area of Science:
- Medical Imaging
- Web Technologies
- Computer Graphics
Background:
- Accessing large-scale 3D medical data remotely presents significant technical challenges.
- Existing solutions often require specialized software or hardware, limiting accessibility.
- Optimizing user experience and data detail for web-based medical visualization is crucial.
Purpose of the Study:
- To propose a pure web-based solution for accessing large-scale 3D medical volumes.
- To enhance user experience and maintain data integrity in remote visualization.
- To develop a novel 'Master-Slave' interaction mode for efficient rendering.
Main Methods:
- Implemented a server-side message-responding mechanism for the 'Master' volume rendering.
- Utilized HTML5 on the client-side ('Slave' model) for normalized user interactions.
- Integrated remote volume rendering and surface rendering advantages.
Main Results:
- Supported over four simultaneous tasks (249.4 MB each) with 100 KBps bandwidth.
- Achieved <12s first loading time and ~1s response time for high-quality images.
- Maintained peak bandwidth <50 KBps and client FPS ≥40.
Conclusions:
- The proposed web-based solution provides efficient and high-quality access to 3D medical volumes.
- It requires no special software or hardware, accessible via a URL.
- The system seamlessly integrates into existing telemedical platforms.
