Web visualization of 3D medical data with open source software (original) (raw)
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High performance 3D visualization on the Web: a biomedical case study
2013
There are many desktop-based applications that oer a so- lution for biomedical problems. Usually, one of the most important task of these biomedical applications is the 3D graphics visualization. In last years, the development of web-based applications has taken a great im- portance and are defeating desktop-based applications, mainly, because the benets this class of software has. However, until recent times, web developers were not able to directly run high performance graphics na- tively on a web context. But nowadays, the appearance of the Khronos WebGL standard make that limitation possible. This work summarizes the WebGL capabilities and presents a successful experience related to the inclusion of high performance graphics on the web. This is done by developing an interactive visualization of voxelized 3D models with the aim of analysing magnetic resonance images of the brain.
Server-based Approach to Web Visualization of Integrated 3-D Medical Image Data
Proceedings Amia Annual Symposium Amia Symposium, 2001
Although computer processing power and network bandwidth are rapidly increasing, the average desktop is still not able to rapidly process large datasets such as 3-D medical image volumes. We have therefore developed a server side approach to this problem, in which a high performance graphics server accepts commands from web clients to load, process and render 3-D image volumes and models. The renderings are saved as 2-D snapshots on the server, where they are uploaded and displayed on the client. User interactions with the graphic interface on the client side are translated into additional commands to manipulate the 3-D scene, after which the server re-renders the scene and sends a new image to the client. Example forms-based and Javabased clients are described for a brain mapping application, but the techniques should be applicable to multiple domains where 3-D medical image visualization is of interest.
International Journal of Medical Informatics, 1997
Virtual Reality Modelling Language (VRML) is the start of a new era for medicine and the World Wide Web (WWW). Scientists can use VRML across the Internet to explore new three-dimensional (3D) worlds, share concepts and collaborate together in a virtual environment. VRML enables the generation of virtual environments through the use of geometric, spatial and colour data structures to represent 3D objects and scenes. In medicine, researchers often want to interact with scientific data, which in several instances may also be dynamic (e.g. MRI data). This data is often very large and is difficult to visualise. A 3D graphical representation can make the information contained in such large data sets more understandable and easier to interpret. Fast networks and satellites can reliably transfer large data sets from computer to computer. This has led to the adoption of remote tale-working in many applications including medical applications. Radiology experts, for example, can view and inspect in near real-time a 3D data set acquired from a patient who is in another part of the world. Such technology is destined to improve the quality of life for many people. This paper introduces VRML (including some technical details) and discusses the advantages of VRML in application developing. © 1997 Elsevier Science B.V.
ParaViewWeb: A Web Framework for 3D Visualization and Data Processing
Since the early days of the Internet, web technologies have been at the forefront of innovation with many traditional desktop applications migrating to the web and new ones continually being invented. In this paper, we present a 3D visualization framework, ParaViewWeb, which enables interactive large data processing and visualization over the web. To enable large data processing, ParaViewWeb uses ParaView, an opensource, parallel data visualization framework, to generate visualizations on the server-side while rapidly delivering images to the client. ParaViewWeb makes it easier to develop customized applications for the web that cater to a wide variety of scientists and domain experts who can use such a web-based system to analyze their datasets without leaving the familiar and omnipresent environment of a web browser. In this paper, we present the ParaViewWeb framework and its features and discuss some of the application fields that can benefit from it.
Declarative 3D Approaches for Distributed Web-based Scientific Visualization Services
Recent developments in the area of efficient web-service architectures and the requirement to provide applications not just for a small expert group lead to new approaches in the field of web-based (scientific) visualization. The just emerging support for GPU-supported and therefore highperformance 2D and 3D graphics in modern web-client implementations and standards provide new application environments, which are especially interesting for the demands of scientific visualization solutions. Thus, in this paper we present a web application deployment architecture that aims at supporting decision making processes more efficiently. We also show that current approaches in the field of declarative 3D techniques are useful for client-side rendering as well as for a large number of processing and visualization aspects.
A web-based virtual reality environment for medical visualization
2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2018
In this paper, we present a novel approach to integrating virtual reality (VR) into a web-based medical visualization framework. The framework supports visualization of volumetric data, such as 3D scalar fields acquired by a CT, MRI or PET scanners. To improve users' perception, understanding and manipulation of 3D volumes, we adapted the traditional 2D screen representation with support for visualization of data in a VR environment. By providing complete visual immersion, VR can help users to gain better insights and understanding of the visualized data. Our main goal was to allow users to view the medical data in VR and interact with it with hand-held controllers for better immersion and spatial perception. In the paper, we present a novel approach to implementation of VR for medical imaging, which combines WebGL-based hardware accelerated web visualization with VR. This allows users to use the visualization framework with or without a VR headset by switching between "standard" and "VR" modes. Since visualization runs in a web browser, it is portable, easy to use on different devices and therefore accessible to a broad number of users. The visualization system was tested with real medical scans to assess its performance and usability.