Most existing medical systems provided by major commercial companies and open source communities depend on different operating systems and platform-related plug-ins.Thus

cross-platform access is difficult to provide. This study presents a browser-oriented medical image visualization system based on the latest web technology and HTML5. Our approach is designed on the basis of B/S mode. The proposed method employs a self-defined protocol to offer customized visualization services. In particular

we propose the Canvas technique for HTML4 and WebGL to accelerate browser visualization. We propose an asynchronous approach to provide progressive visualization. This approach constructs multi-resolution sampling data for the underlying dataset and employs an adaptive visualization scheme during user interactions. We tested our system using multiple clinical and medical datasets in different browsers. Results show that our system supports multiple browsers. Experiments on 2D and 3D visualization features show that our system can display 2D images in real-time (25 frame/s)

as well as visualize 3D images interactively. For a dataset with a resolution of 512×512×154

low-resolution sampling performance achieves 60 frame/s)

whereas that of high-resolution sampling is 1 frame/s). The proposed system fully supports cross-platform operation and is compatible with all browsers that support HTML5. These features significantly enhance user experience and openup prospects for remote and mobile medical image visualization systems

as well as give rise to a new opportunity for web medical image visualization systems.