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Related Experiment Videos

Medical volume rendering over the WWW using VRML and JAVA.

O Hendin1, N W John, O Shochet

  • 1Silicon Graphics Biomedical, Technology Park, Malha, Jerusalem, Israel.

Studies in Health Technology and Informatics
|December 8, 1997
PubMed
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High-performance volume rendering is now accessible across platforms using Virtual Reality Modeling Language (VRML) and JAVA. This overcomes performance limitations of JAVA for network computing, making advanced visualization widely available.

Area of Science:

  • Computer Science
  • Data Visualization
  • Network Computing

Background:

  • The World Wide Web (WWW) facilitates access to vast data and applications.
  • Network computing encapsulates data within applications, simplifying user experience but often degrading performance.
  • Current JAVA implementations lack support for high-performance visualization.

Purpose of the Study:

  • To demonstrate that high-performance volume rendering can be achieved using VRML and JAVA.
  • To make advanced visualization techniques, traditionally limited to high-end systems, widely accessible.
  • To address the performance limitations of JAVA in network-based visualization.

Main Methods:

  • Utilizing Virtual Reality Modeling Language (VRML) for cross-platform 3D graphics.

Related Experiment Videos

  • Leveraging JAVA for network-enabled application development and data handling.
  • Integrating VRML and JAVA to create a high-performance volume rendering pipeline.
  • Main Results:

    • Successful implementation of high-performance volume rendering using VRML and JAVA.
    • Demonstration of cross-platform compatibility for advanced visualization.
    • Achieved performance levels suitable for widespread adoption in network computing.

    Conclusions:

    • High-performance volume rendering is feasible and accessible via VRML and JAVA.
    • This approach democratizes advanced visualization, moving it beyond specialized hardware.
    • The integration of VRML and JAVA offers a viable solution for performant, cross-platform network visualization.